{ "fetched_at": "2026-10-20T00:53:25Z", "source_url": "https://www.kaggle.com/competitions/global-ai-challenge-trial-2025/data", "pages": [ { "name": "data-description", "content": "The dataset consists of historical cooling load of buildings from chilled water systems deployed in a building and related chiller operational information. Various types of sensor readings with short reading intervals are also available for use. You may also use external open data (e.g. Hong Kong Observatory Open Data, The Building Data Genome Project 2 etc.) to build your own model.\n\n\n* **Building_X.csv** - The training data for model development. It contains chiller sensor data from one building that contains year-round cooling data from 2023, recorded at 15-mins intervals in Hong Kong Time in csv format.\n\n **Data Used for Building X**\n Date & Time Range: 1/1/2023 00:00 to 31/12/2023 23:00;\n \n **Data Provided**\n| Raw Chiller Sensor Data | Description | Unit |\n| :--- | :---: | :---: |\n|`record_timestamp`\t|Date and Time of the record in Hong Kong Time\t|YYYY-MM-DD HH:MM:SS|\n|`CHR-01-KW`\t|Chiller 1 Power Consumption\t|kW|\n|`CHR-01-CHWSWT`\t|Chiller 1 Chilled Water Supply Water Temperature\t|°C|\n|`CHR-01-CHWRWT`\t|Chiller 1 Chilled Water Return Water Temperature\t|°C|\n|`CHR-01-CHWFWR`\t|Chiller 1 Chilled Water Flowrate\t|L/s|\n|`CHR-02-KW`\t|Chiller 2 Power Consumption\t|kW|\n|`CHR-02-CHWSWT`\t|Chiller 2 Chilled Water Supply Water Temperature\t|°C|\n|`CHR-02-CHWRWT` |Chiller 2 Chilled Water Return Water Temperature\t|°C|\n|`CHR-02-CHWFWR` |Chiller 2 Chilled Water Flowrate\t|L/s|\n|`CHR-03-KW` |Chiller 3 Power Consumption\t|kW|\n|`CHR-03-CHWSWT`\t|Chiller 3 Chilled Water Supply Water Temperature\t|°C|\n|`CHR-03-CHWRWT`\t|Chiller 3 Chilled Water Return Water Temperature\t|°C|\n|`CHR-03-CHWFWR`\t|Chiller 3 Chilled Water Flowrate\t|L/s|\n\n\n\n\n* **test.csv** - This is the competition file required for prediction. Participants need to predict the total hourly cooling load for the next 30 days.\nThe file contains hourly timestamps for the 30-day prediction period, and each timestamp serves as the unique identifier for your prediction target. \nPredictions must be organized according to the format provided in test.csv.\n\n **Prediction Range**\nBuilding: X; Date & Time Range: 1/1/2024 00:00 to 30/1/2024 23:00;\n\n **Submission Format**\nSubmit a CSV file with 2 columns:\n`predicted_time`: hourly timestamps from 1/1/2024 00:00 to 30/1/2024 23:00\n`predicted_load`: Predicted total cooling load in **kW** for that hour\n\n **Example Submission**\n```\nprediction_time,predicted_load\n1/1/2024 0:00:00 am,100\n1/1/2024 1:00:00 am,200\n1/1/2024 2:00:00 am,300\n1/1/2024 3:00:00 am,150\n1/1/2024 4:00:00 am,50\netc.\n```\n", "isPublished": false, "hasIsPublished": false, "postTitle": "", "hasPostTitle": false, "mimeType": "", "hasMimeType": false }, { "name": "Description", "content": "This trial serves as a practice round for the upcoming Global AI Challenge for Building E&M Facilities 2025. Your task will be to predict hourly cooling loads for a specific building, giving you valuable hands-on experience with the competition's data format, problem complexity, and evaluation framework before the main event.\n\n### Problem:\nModern building automation systems generate vast amounts of sub-hourly sensor data from hundreds of measurement points, yet these datasets are frequently compromised by missing values and errors, undermining their usefulness for developing reliable HVAC performance models. The challenge is further compounded for newly constructed buildings that lack sufficient historical data for model training, as well as by the inherent diversity of building types in competition datasets - each with unique occupancy patterns, energy consumption profiles, and cooling load influencers - making it difficult to create prediction models that generalize effectively across different facilities.\n\n### Proposed solutions:\nAddressing the challenges of data quality, availability, and the diversity of building types is essential for developing AI-powered cooling load forecasting solutions. Successfully overcoming these hurdles will empower facility managers to determine optimal chiller operation strategies, thereby enhancing the overall energy efficiency of their building portfolios.\n\n### Details:\nThis trial challenge prepares you for the Global AI Challenge for Building E&M Facilities 2025 through a hands-on forecasting exercise. Using real-world sensor data from Building X (an animal clinic), you'll develop and refine predictive AI models that address practical challenges in building energy management. The task mirrors real-world scenarios you'll encounter in the main competition, providing valuable experience with authentic datasets and operational conditions.\n\nYou will be tasked with leveraging this data to develop AI models that can accurately predict the hourly cooling load for building X in the next 30 days. In addition to the provided datasets, you are allowed to utilise open-source libraries and additional data sources that can be accessed by the Competition Organisers.\n\n![](https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F26053641%2F38b3d43055cbb97918b77e266abde5af%2F1.png?generation=1744349017044932&alt=media)", "isPublished": false, "hasIsPublished": false, "postTitle": "", "hasPostTitle": false, "mimeType": "", "hasMimeType": false }, { "name": "Evaluation", "content": "The evaluation metric for this part of competition is based on the following:\n\nThe accuracy of your hourly Cooling Load Prediction base model measured by the Normalised Root Mean Square Error (NRMSE):\n\n$$ \\epsilon = \\frac{1}{{a\\_{max}} - {a\\_{min}}} \\sqrt{\\frac{\\sum_{i=1}^{n} (p_i - a_i)^2}{n}} $$\n\nWhere\n\n- Σ is the NRMSE of forecasts\n- n is the total number of forecasts, which is the next 30 days of the data in the testing training dataset\n- pᵢ is your prediction value of the cooling load demand in kWh, and aᵢ is the actual cooling load in kWh\n- amax and amin is the maximum and minimum actual cooling load in kWh\n\nSubmissions are evaluated using NRMSE on the animal clinic dataset).\n\nLeaderboard rankings will be determined based on the calculated scores in ascending order, with lower scores achieving higher ranks.\n", "isPublished": false, "hasIsPublished": false, "postTitle": "", "hasPostTitle": false, "mimeType": "", "hasMimeType": false }, { "name": "rules", "content": "# **RULES AND REGULATIONS**\n\n#### • One account per participant\nYou cannot sign up to Kaggle from multiple accounts, and therefore you cannot submit from multiple accounts.\n\n#### • Submission Requirement\nThe final version of the AI model and the associated python codes and libraries should be submitted and validated by Competition Organisers.\nAn output file (e.g., submission.csv) containing the predicted cooling load values should be submitted for the given evaluation dataset.\nA two-page report containing the introduction and detailed description of the AI model should be submitted to Competition Organisers.\n\n#### • Competition-specific Terms\nCompetition Title: Global AI Challenge for Building E&M Facilities 2025\nCompetition Organisers: Electrical and Mechanical Services Department, Guangdong Provincial Association for Science and Technology\nData Access and Use: Competition Use, Non-Commercial Purposes & Academic Research\n\n*Competitions are open to residents of Hong Kong and worldwide. Other local rules and regulations may apply to you, so please check your local laws to ensure that you are eligible to participate in skills-based competitions. The Competition Organisers reserve the right to award alternative Prizes where needed to comply with local laws.*\n\n**ENTRY IN THIS COMPETITION CONSTITUTES YOUR ACCEPTANCE OF THESE OFFICIAL COMPETITION RULES.**\n\nThe Competition named above is a skills-based competition to promote and further the field of AI development. The competition will be conducted in two stages:\nPart 1 – Building Cooling Load Forecasting Challenge\nFor this stage, your competition submissions (\"Submissions\") must conform to the requirements stated on Kaggle. Your Submissions will be scored based on the evaluation metric described on Kaggle. \nPart 2 - Physical Competition Session\nShortlisted teams from Part 1 will be invited to the final round of the competition. The specific logistics and requirements for the final presentation session will be provided to the shortlisted teams upon notification of their advancement to this stage.\nSubject to compliance with the Competition Rules, Prizes, if any, will be awarded to participants with the best scores, based on the merits of the data science models submitted and the most impressive final presentations, as determined by the panel of expert judges. See below for the complete Competition Rules.\n\n\n## • General Competition Rules\n###1. Binding Agreement\nTo enter the Competition, you must agree to these Official Competition Rules, which incorporate by reference the provisions and content of Kaggle and any Specific Competition Rules above (collectively, the \"Rules\"). Please read these Rules carefully before entry to ensure you understand and agree. You further agree that submission of an entry in the Competition constitutes agreement to these Rules. You may not submit an entry to the Competition and are not eligible to receive the prizes associated with this Competition (“Prizes”) unless you agree to these Rules. These Rules form a binding legal agreement between you and the Competition Organisers with respect to the Competition.\n\n###2. Eligibility\nA. To be eligible to enter the Competition, you must: (i) be a registered account holder at Kaggle.com; (ii) complete and submit the online application form available at [https://esurvey.emsd.gov.hk/form/view/73464445-1740537479839] by the Application Deadline stated in Section 4 (Application Process); and (iii) be the older of 18 years old or the age of majority in your jurisdiction of residence (unless otherwise agreed to by Competition Organisers and appropriate parental/guardian consents have been obtained by Competition Organisers).\nIf you are entering as a representative of a company, educational institution or other legal entity, or on behalf of your employer, these rules are binding on you, individually, and the entity you represent as an employee. If you are acting within the scope of your employment, as an employee, a contractor, or an agent of another party, you warrant that such party has full knowledge of your actions and has consented thereto, including your potential receipt of a Prize. You further warrant that your actions do not violate your employer's or entity's policies and procedures.\nThe Competition Organisers reserve the right to verify eligibility and to adjudicate on any dispute at any time. If you provide any false information relating to the Competition concerning your identity, residency, mailing address, telephone number, email address, ownership of right, or information required for entering the Competition, you may be immediately disqualified from the Competition.\nB. Unless otherwise stated in the Specific Competition Rules above or prohibited by internal policies of the Competition Entities, employees, officers and directors of Competition Entities may enter and participate in the Competition, but are not eligible to win any Prizes. \"Competition Entities\" means the Competition Organisers and their respective parent companies, subsidiaries and affiliates. If you are such a participant from a Competition Entity, you are subject to all applicable internal policies of your employer with respect to your participation.\n\n###3. Competition Period\nFor the purposes of Prizes, the Competition will run from April 2025 to August 2025 (such duration the “Competition Period”). The Competition Timeline is subject to change, and Competition Organisers may introduce additional deadlines during the Competition Period. Any updated or additional deadlines will be published on Kaggle and event website. It is your responsibility to check the event website regularly to stay informed of any deadline changes. YOU ARE RESPONSIBLE FOR DETERMINING THE CORRESPONDING TIME ZONE IN YOUR LOCATION.\n\n###4. Application Process\nIn order to participate in the Competition, you must first complete the application process. Visit the [https://esurvey.emsd.gov.hk/form/view/73464445-1740537479839] and submit the online application form by the Application Deadline of 23 May 2025. Ensuring you and your team members have active Kaggle accounts is a prerequisite for entering the Competition.\nAll completed applications received by the Application Deadline will be reviewed. Successful applicants will be notified and provided with further instructions for the Competition Entry process.\n\n###5. Competition Entry\nNO PURCHASE NECESSARY TO ENTER OR WIN. After your application is approved, you will receive the notification email with competition details on the upcoming Monday. You are required to follow the instructions for developing and entering your Submission through Kaggle. Your Submissions must be made in the manner and format, and in compliance with all other requirements, stated on the Competition Website (the \"Requirements\"). Submissions must be received before any Submission deadlines stated on the Competition Website. Submissions not received by the stated deadlines will not be eligible to receive a Prize.\nSubmissions may not use or incorporate information from hand labelling or human prediction of the validation dataset or test data records.\nSubmissions are void if they are in whole or part illegible, incomplete, damaged, altered, counterfeit, obtained through fraud, or late. Competition Organisers reserve the right to disqualify any entrant who does not follow these Rules, including making a Submission that does not meet the Requirements.\n\n###6. Individuals and Teams Account\nIndividual Account: You may make Submissions only under one, unique Kaggle account. You will be disqualified if you make Submissions through more than one Kaggle account, or attempt to falsify an account to act as your proxy. You may submit up to the maximum number of Submissions per day as specified in Rules and Regulations.\nTeams: Multiple individuals may collaborate as a Team; however, you may join or form only one Team. The team leader must register on behalf of all team members according to Section 4 - Application Process. No new members can be added after the application. Team membership may not exceed the Maximum Team Size stated in Rules and Regulations.\nPrivate Sharing: No private sharing outside of Teams. Privately sharing code or data outside of Teams is not permitted. It's okay to share code if made available to all Participants on the forums.\n\n###7. Competition Data\n\"Competition Data\" means the data or datasets available from Kaggle for the purpose of use in the Competition, including any prototype or executable code provided on Kaggle. The Competition Data will contain private and public test sets. Which data belongs to which set will not be made available to participants.\nA. Data Access and Use. You may access and use the Competition Data for only non-commercial purposes, including for participating in the Competition, and for academic research and education. The Competition Organisers reserve the right to disqualify any participant who uses the Competition Data other than as permitted by Kaggle and these Rules.\nB. Data Security. You agree to use reasonable and suitable measures to prevent persons who have not formally agreed to these Rules from gaining access to the Competition Data. You agree not to transmit, duplicate, publish, redistribute or otherwise provide or make available the Competition Data to any party not participating in the Competition. You agree to notify Competition Organisers immediately upon learning of any possible unauthorised transmission of or unauthorised access to the Competition Data and agree to work with Competition Organisers to rectify any unauthorised transmission or access.\n\n###8. Submission Licence\nA. You hereby grant and will grant the Competition Organisers the following license(s) with respect to your Submission if you are a Competition winner participant:\n i. MIT Licence: You hereby license and will license your Submission and the source code used to generate the Submission under the MIT Licence (https://opensource.org/licenses/MIT), which permits unrestricted commercial use, modification, distribution, and sublicensing, provided that the original copyright notice and licence text are included in all copies or substantial portions of the Submission.\n ii. Third-Party Software: For generally commercially available software that you used to generate your Submission that is not owned by you, but that can be procured by the Competition Sponsor without undue expense, you do not need to grant the licence in the preceding Section for that software.\n iii. Incompatible Licences: In the event that input data or pretrained models with an incompatible licence are used to generate your winning solution, you do not need to grant an open source licence in the preceding Section for that data and/or model(s).\n iv. Intellectual Property Ownership: All intellectual property rights (including but not limited to copyright, patents, and trade secrets) in your winning Submission are hereby exclusively assigned to and shall be owned by the Electrical and Mechanical Services Department (EMSD). You agree to execute any additional documents required to formalise this transfer of ownership upon request.\nB. You may be required by the Competition Organisers to provide a detailed description of how the winning Submission was generated, to the Competition Organisers’s specifications, as outlined in Section 13, Winner’s Obligations. This may include a detailed description of methodology, where one must be able to reproduce the approach by reading the description, and includes a detailed explanation of the architecture, preprocessing, loss function, training details, hyper-parameters, etc. The description should also include a link to a code repository with complete and detailed instructions so that the results obtained can be reproduced.\n\n###9. External Data and Tools\nA. External Data. You may use data other than the Competition Data (“External Data”) to develop and test your models and Submissions. However, you will (i) ensure the External Data is available to use by all participants of the Competition for purposes of the competition at no cost to the other participants and (ii) post such access to the External Data for the participants to the official competition forum prior to the Entry Deadline.\nB. The use of external data and models is acceptable unless specifically prohibited by the Host. Because of the potential costs or restrictions (e.g., “geo restrictions”) associated with obtaining rights to use external data or certain software and associated tools, their use must be “generally accessible to all” and of “minimal cost”. Also, regardless of the cost challenges as they might affect all Participants during the course of the competition, the costs of potentially procuring a license for software used to generate a Submission, must also be considered. The Host will employ an assessment of whether or not the following criteria can exclude the use of the particular LLM, data set(s), or tool(s):\n Are Participants being excluded from a competition because of the \"excessive\" costs for access to certain LLMs, external data, or tools that might be used by other Participants. The Host will assess the excessive cost concern by applying a “Reasonableness” standard (the “Reasonableness Standard”). The Reasonableness Standard will be determined and applied by the Host in light of things like cost thresholds and accessibility.\n By way of example only, a small subscription charge to use additional elements of a large language model such as Gemini Advanced are acceptable if meeting the Reasonableness Standard by the Competition Organisers. Purchasing a licence to use a proprietary dataset that exceeds the cost of a prize in the competition would not be considered reasonable.\n\n###10. Submission Code Requirements\nA. Modular Codebase Allowed. You are permitted to modularise your submission codebase into separate components for various stages of the machine learning workflow. This includes, but is not limited to, tasks such as data preprocessing, feature engineering, model training, and prediction. These modular components can be organised and structured as you see fit, as long as the final submission executes as a single, unified model.\nB. Environment and Dependencies. All required dependencies, environment specifications, and installation instructions must be clearly provided with the submission. This is to ensure the model can be properly executed and evaluated by Competition Organisers.\nC. Disqualification. Submissions that fail to provide necessary environment and dependency information, or are unable to be properly executed and evaluated will be disqualified from the Competition.\nD. Private Code Sharing. Unless otherwise specifically permitted under Kaggle or Competition Specific Rules above, during the Competition Period, you are not allowed to privately share source or executable code developed in connection with or based upon the Competition Data or other source or executable code relevant to the Competition (“Competition Code”). This prohibition includes sharing Competition Code between separate Teams. Any such sharing of Competition Code is a breach of these Competition Rules and may result in disqualification.\nE. Public Code Sharing. You are permitted to publicly share Competition Code, provided that such public sharing does not violate the intellectual property rights of any third party. If you do choose to share Competition Code or other such code, you are required to share it on Kaggle associated specifically with the Competition for the benefit of all competitors. By sharing, you are deemed to have licensed the shared code under an Open Source Initiative-approved licence (see www.opensource.org) that in no event limits commercial use of such Competition Code or model containing or depending on such Competition Code.\nF. Use of Open Source. Unless otherwise stated in the Specific Competition Rules above, if open source code is used in the model to generate the Submission, then you must only use open source code licensed under an Open Source Initiative-approved licence (see www.opensource.org) that in no event limits commercial use of such code or model containing or depending on such code.\n###11. Determining Winners\nEach Submission will be scored and ranked by the evaluation metric stated on the Kaggle.\n\n###12. Notification of Winners & Disqualification\nThe potential winner(s) will be notified by email.\nIf a potential winner (i) does not respond to the notification attempt within one (1) week from the first notification attempt or (ii) notifies AI Challenge within one week after the End Date that the potential winner does not want to be nominated as a winner or does not want to receive a Prize, then, in each case (i) and (ii) such potential winner will not receive any Prize, and an alternate potential winner will be selected from among all eligible entries received based on the Competition’s judging criteria.\nCompetition Organisers reserve the right to disqualify any participant from the Competition if the Competition Organisers reasonably believe that the participant has attempted to undermine the legitimate operation of the Competition by cheating, deception, or other unfair playing practices or abuses, threatens or harasses any other participants or Competition Organisers.\nDeterminations of Competition Organisers are final and binding.\n\n###13. Winners Obligations\nAs a condition to being awarded a Prize, a Prize winner must fulfil the following obligations:\n(a) deliver to the Competition Organisers the final model's software code as used to generate the winning Submission and associated documentation. The delivered software code should follow these documentation guidelines, must be capable of generating the winning Submission, and contain a description of resources required to build and/or run the executable code successfully; for avoidance of doubt, delivered software code should include training code, inference code, and a description of the required computational environment.\n(b) grant to the Competition Organisers the licence to the winning Submission stated in the Competition Specific Rules above, and represent that you have the unrestricted right to grant that license;\n###14. AUTOMATED MACHINE LEARNING TOOLS (AMLT)\nA. Individual Participants and Teams may use automated machine learning tool(s) (“AMLT”) (e.g., Google toML, H2O Driverless AI, etc.) to create a Submission, provided that the Participant or Team ensures that they have an appropriate license to the AMLT such that they are able to comply with the Competition Rules.\nB. To the extent that the final model’s software code includes generally commercially available software that is not owned by you, but that can be procured by the Competition Sponsor without undue expense, then instead of delivering the code for that software to the Competition Sponsor, you must identify that software, method for procuring it, and any parameters or other information necessary to replicate the winning Submission; Individual Participants and Teams who create a Submission using an AMLT may win a Prize. However, for clarity, the potential winner’s Submission must still meet the requirements of these Rules, including but not limited to Section 8 (Submission License), Section 13 (Winners Obligations), and Section 18 (Warranty, Indemnity, and Release).”\nC. Individual Participants and Teams who create a Submission using an AMLT may win a Prize. However, for clarity, the potential winner’s Submission must still meet the requirements of these Rules,\n i. Grant to the Competition Organisers the licence to the winning Submission stated in the Competition Specific Rules above, and represent that you have the unrestricted right to grant that licence;\n ii. Sign and return all Prize acceptance documents as may be required by Competition Sponsor or Kaggle, including without limitation: (a) eligibility certifications; (b) licences, releases and other agreements required under the Rules.\n\n###15.Prizes\nPrize(s) are as described on the event website and are only available for winning during the time period described on the event website. The odds of winning any Prize depends on the number of eligible Submissions received during the Competition Period and the skill of the participants.\nAll Prizes are subject to Competition Organisers’ review and verification of the participant’s eligibility and compliance with these Rules, and the compliance of the winning Submissions with the Submissions Requirements. In the event that the Submission demonstrates non-compliance with these Competition Rules, Competition Organisers may at its discretion take either of the following actions: (i) disqualify the Submission(s); or (ii) require the potential winner to remediate within one week after notice all issues identified in the Submission(s) (including, without limitation, the resolution of licence conflicts, the fulfilment of all obligations required by software licences, and the removal of any software that violates the software restrictions).\nA potential winner may decline to be nominated as a Competition winner in accordance with Section 12 (Notification of Winners & Disqualification).\nPotential winners must return all required Prize acceptance documents within two (2) weeks following notification of such required documents, or such potential winner will be deemed to have forfeited the prize and another potential winner will be selected. Prize(s) will be awarded within approximately 30 days after receipt by Competition Organisers of the required Prize acceptance documents. Transfer or assignment of a Prize is not allowed.\nYou are not eligible to receive any Prize if you do not meet the Eligibility requirements in Section 2 above.\n\n###16. Publicity\nBy accepting a Prize, you agree that Competition Organisers and its affiliates may use your name and likeness for advertising and promotional purposes without additional compensation, unless prohibited by law. The winners may be requested to participate in various publicity events, for example interviews, winners’ sharings etc.\n\n###17. Privacy\nYou acknowledge and agree that Competition Organisers may collect, store, share and otherwise use personally identifiable information provided by you during the AI Challenge account registration process and the Competition, including but not limited to, name, mailing address, phone number, and email address (“Personal Information”). AI Challenge acts as an independent controller with regard to its collection, storage, sharing, and other use of this Personal Information, and will use this Personal Information in accordance with its Privacy Policy, including for administering the Competition and promotion of subsequent events organized by E&M AI Lab. As a globalaichallenge.com account holder, you have the right to request access to, review, rectification, portability or deletion of any personal data held by AI Challenge about you by contacting AI Challenge.\n\n###18. Warranty, Indemnity and Release\nYou warrant that your Submission is your own original work and, as such, you are the sole and exclusive owner and rights holder of the Submission, and you have the right to make the Submission and grant all required licenses. You agree not to make any Submission that: (i) infringes any third party proprietary rights, intellectual property rights, industrial property rights, personal or moral rights or any other rights, including without limitation, copyright, trademark, patent, trade secret, privacy, publicity or confidentiality obligations, or defames any person; or (ii) otherwise violates any applicable Hong Kong SAR law.\nTo the maximum extent permitted by law, you indemnify and agree to keep indemnified Competition Entities at all times from and against any liability, claims, demands, losses, damages, costs and expenses resulting from any of your acts, defaults or omissions and/or a breach of any warranty set forth herein. To the maximum extent permitted by law, you agree to defend, indemnify and hold harmless the Competition Entities from and against any and all claims, actions, suits or proceedings, as well as any and all losses, liabilities, damages, costs and expenses (including reasonable attorneys fees) arising out of or accruing from: (a) your Submission or other material uploaded or otherwise provided by you that infringes any third party proprietary rights, intellectual property rights, industrial property rights, personal or moral rights or any other rights, including without limitation, copyright, trademark, patent, trade secret, privacy, publicity or confidentiality obligations, or defames any person; (b) any misrepresentation made by you in connection with the Competition; (c) any non-compliance by you with these Rules or any applicable Hong Kong SAR law; (d) claims brought by persons or entities other than the parties to these Rules arising from or related to your involvement with the Competition; and (e) your acceptance, possession, misuse or use of any Prize, or your participation in the Competition and any Competition-related activity.\nYou hereby release Competition Entities from any liability associated with: (a) any malfunction or other problem with Kaggle; (b) any error in the collection, processing, or retention of any Submission; or (c) any typographical or other error in the printing, offering or announcement of any Prize or winners.\n\n###19. Internet\nCompetition Entities are not responsible for any malfunction of Kaggle or any late, lost, damaged, misdirected, incomplete, illegible, undeliverable, or destroyed Submissions or entry materials due to system errors, failed, incomplete or garbled computer or other telecommunication transmission malfunctions, hardware or software failures of any kind, lost or unavailable network connections, typographical or system/human errors and failures, technical malfunction(s) of any telephone network or lines, cable connections, satellite transmissions, servers or providers, or computer equipment, traffic congestion on the Internet or at Kaggle, or any combination thereof, which may limit a participant’s ability to participate.\n\n###20. Right to Cancel, Modify or Disqualify\nIf for any reason the Competition is not capable of running as planned, including infection by computer virus, bugs, tampering, unauthorised intervention, fraud, technical failures, or any other causes which corrupt or affect the administration, security, fairness, integrity, or proper conduct of the Competition, Competition Organisers reserve the right to cancel, terminate, modify or suspend the Competition. Competition Organisers further reserve the right to disqualify any participant who tampers with the submission process or any other part of the Competition or Competition Website. Any attempt by a participant to deliberately damage any website, including the Competition Website, or undermine the legitimate operation of the Competition is a violation of criminal and civil laws. Should such an attempt be made, Competition Organisers reserve the right to seek damages from any such participant to the fullest extent of the applicable law.\n\n###21. Not an Offer or Contract of Employment\nUnder no circumstances will the entry of a Submission, the awarding of a Prize, or anything in these Rules be construed as an offer or contract of employment with Competition Organisers or any of the Competition Entities. You acknowledge that you have submitted your Submission voluntarily and not in confidence or in trust. You acknowledge that no confidential, fiduciary, agency, employment or other similar relationship is created between you and Competition Organisers or any of the Competition Entities by your acceptance of these Rules or your entry of your Submission.\n", "isPublished": false, "hasIsPublished": false, "postTitle": "", "hasPostTitle": false, "mimeType": "", "hasMimeType": false }, { "name": "abstract", "content": "##**Get a head start on the Global AI Challenge for Building E&M Facilities 2025!**\n\nBuildings are the world’s largest energy consumers, accounting for over 40% of global energy use. In cities like Hong Kong, this figure can exceed 80%, with HVAC systems alone costing HK$12.3 billion annually. AI-driven solutions hold immense potential to reduce this footprint—but advancing these technologies requires collaboration across disciplines.\n\nThis challenge trial invites participants to tackle a simulated version of the problem ahead of the [Global AI Challenge for Building E&M Facilities 2025](https://www.globalaichallenge.com/en/home). Use our mock dataset to experience the competition format firsthand.\n\n#### Why join this trial?\n\n- **Test your skills**: Experiment with AI/ML models in a low-stakes environment.\n- **Learn the workflow**: Familiarize yourself with building energy prediction challenges.\n- **Prepare for the main event**: Gain early insights to excel in the 2025 competition, where real-world datasets and larger prizes await. (For full details, please visit Global AI Challenge for Building E&M Facilities 2025 website: https://www.globalaichallenge.com/en/home)\n\nThe Global AI Challenge for Building E&M Facilities 2025 will expand this effort with never-before-released real-world datasets, deeper technical challenges, and opportunities to shape the future of sustainable buildings. **Ready to go further?** [Sign up for the full competition](https://www.globalaichallenge.com/en/home) to see how your AI solutions can impact energy conservation on a global scale.\n\n##**Join the trial today—and gear up for the ultimate AI energy showdown in 2025!**", "isPublished": false, "hasIsPublished": false, "postTitle": "", "hasPostTitle": false, "mimeType": "", "hasMimeType": false }, { "name": "foundational-rules", "content": "The following Kaggle Competition Foundational Rules (“ Foundational Rules ”) apply to every competition regardless of whether the Sponsor creates competition-specific rules. Any competition-specific rules provided by the Sponsor are in addition to these rules, and in the case of any conflict or inconsistency, these Foundational Rules control and nullify contrary competition-specific rules.\n###GENERAL COMPETITION RULES - BINDING AGREEMENT\n####1. ELIGIBILITY\na. To be eligible to enter the Competition, you must be:\n1. a registered account holder at Kaggle.com; \n2. the older of 18 years old or the age of majority in your jurisdiction of residence (unless otherwise agreed to by Competition Sponsor and appropriate parental/guardian consents have been obtained by Competition Sponsor); \n3. not a resident of Crimea, so-called Donetsk People's Republic (DNR) or Luhansk People's Republic (LNR), Cuba, Iran, Syria, or North Korea; and\n4. not a person or representative of an entity under U.S. export controls or sanctions (see: [https://www.treasury.gov/resourcecenter/sanctions/Programs/Pages/Programs.aspx][1]).\n\nb. Competitions are open to residents of the United States and worldwide, except that if you are a resident of Crimea, so-called Donetsk People's Republic (DNR) or Luhansk People's Republic (LNR), Cuba, Iran, Syria, North Korea, or are subject to U.S. export controls or sanctions, you may not enter the Competition. Other local rules and regulations may apply to you, so please check your local laws to ensure that you are eligible to participate in skills-based competitions. The Competition Host reserves the right to forego or award alternative Prizes where needed to comply with local laws. If a winner is located in a country where prizes cannot be awarded, then they are not eligible to receive a prize.\n\nc. If you are entering as a representative of a company, educational institution or other legal entity, or on behalf of your employer, these rules are binding on you, individually, and the entity you represent or where you are an employee. If you are acting within the scope of your employment, or as an agent of another party, you warrant that such party or your employer has full knowledge of your actions and has consented thereto, including your potential receipt of a Prize. You further warrant that your actions do not violate your employer's or entity's policies and procedures. \n\nd. The Competition Sponsor reserves the right to verify eligibility and to adjudicate on any dispute at any time. If you provide any false information relating to the Competition concerning your identity, residency, mailing address, telephone number, email address, ownership of right, or information required for entering the Competition, you may be immediately disqualified from the Competition.\n\n####2. SPONSOR AND HOSTING PLATFORM\n\na. The Competition is sponsored by Competition Sponsor named above. The Competition is hosted on behalf of Competition Sponsor by Kaggle Inc. (\"Kaggle\"). Kaggle is an independent contractor of Competition Sponsor, and is not a party to this or any agreement between you and Competition Sponsor. You understand that Kaggle has no responsibility with respect to selecting the potential Competition winner(s) or awarding any Prizes. Kaggle will perform certain administrative functions relating to hosting the Competition, and you agree to abide by the provisions relating to Kaggle under these Rules. As a Kaggle.com account holder and user of the Kaggle competition platform, remember you have accepted and are subject to the Kaggle Terms of Service at [www.kaggle.com/terms][2] in addition to these Rules.\n\n####3. COMPETITION PERIOD\na. For the purposes of Prizes, the Competition will run from the Start Date and time to the Final Submission Deadline (such duration the “Competition Period”). The Competition Timeline is subject to change, and Competition Sponsor may introduce additional hurdle deadlines during the Competition Period. Any updated or additional deadlines will be publicized on the Competition Website. It is your responsibility to check the Competition Website regularly to stay informed of any deadline changes. YOU ARE RESPONSIBLE FOR DETERMINING THE CORRESPONDING TIME ZONE IN YOUR LOCATION.\n\n####4. COMPETITION ENTRY\na. NO PURCHASE NECESSARY TO ENTER OR WIN. To enter the Competition, you must register on the Competition Website prior to the Entry Deadline, and follow the instructions for developing and entering your Submission through the Competition Website. Your Submissions must be made in the manner and format, and in compliance with all other requirements, stated on the Competition Website (the \"Requirements\"). Submissions must be received before any Submission deadlines stated on the Competition Website. Submissions not received by the stated deadlines will not be eligible to receive a Prize.\nb. Submissions may not use or incorporate information from hand labeling or human prediction of the validation dataset or test data records.\nc. If the Competition is a multi-stage competition with temporally separate training and/or test data, one or more valid Submissions may be required during each Competition stage in the manner described on the Competition Website in order for the Submissions to be Prize eligible.\nd. Submissions are void if they are in whole or part illegible, incomplete, damaged, altered, counterfeit, obtained through fraud, or late. Competition Sponsor reserves the right to disqualify any entrant who does not follow these Rules, including making a Submission that does not meet the Requirements. \n\n####5. INDIVIDUALS AND TEAMS\na. Individual Account. You may make Submissions only under one, unique Kaggle.com account. You will be disqualified if you make Submissions through more than one Kaggle account, or attempt to falsify an account to act as your proxy. You may submit up to the maximum number of Submissions per day as specified on the Competition Website. \nb. Teams. If permitted under the Competition Website guidelines, multiple individuals may collaborate as a Team; however, you may join or form only one Team. Each Team member must be a single individual with a separate Kaggle account. You must register individually for the Competition before joining a Team. You must confirm your Team membership to make it official by responding to the Team notification message sent to your Kaggle account. Team membership may not exceed the Maximum Team Size stated on the Competition Website.\nc. Team Merger. Teams may request to merge via the Competition Website. Team mergers may be allowed provided that: (i) the combined Team does not exceed the Maximum Team Size; (ii) the number of Submissions made by the merging Teams does not exceed the number of Submissions permissible for one Team at the date of the merger request; (iii) the merger is completed before the earlier of: any merger deadline or the Competition deadline; and (iv) the proposed combined Team otherwise meets all the requirements of these Rules. \nd. Private Sharing. No private sharing outside of Teams. Privately sharing code or data outside of Teams is not permitted. It's okay to share code if made available to all Participants on the forums.\n\n####6. SUBMISSION CODE REQUIREMENTS\na. Private Code Sharing. Unless otherwise specifically permitted under the Competition Website or Competition Specific Rules above, during the Competition Period, you are not allowed to privately share source or executable code developed in connection with or based upon the Competition Data or other source or executable code relevant to the Competition (“Competition Code”). This prohibition includes sharing Competition Code between separate Teams, unless a Team merger occurs. Any such sharing of Competition Code is a breach of these Competition Rules and may result in disqualification.\nb. Public Code Sharing. You are permitted to publicly share Competition Code, provided that such public sharing does not violate the intellectual property rights of any third party. If you do choose to share Competition Code or other such code, you are required to share it on Kaggle.com on the discussion forum or notebooks associated specifically with the Competition for the benefit of all competitors. By so sharing, you are deemed to have licensed the shared code under an Open Source Initiative-approved license (see [www.opensource.org][3]) that in no event limits commercial use of such Competition Code or model containing or depending on such Competition Code.\nc. Use of Open Source. Unless otherwise stated in the Specific Competition Rules above, if open source code is used in the model to generate the Submission, then you must only use open source code licensed under an Open Source Initiative-approved license (see [www.opensource.org][4]) that in no event limits commercial use of such code or model containing or depending on such code.\n\n####7. DETERMINING WINNERS\na. Each Submission will be scored and ranked by the evaluation metric stated on the Competition Website. During the Competition Period, the current ranking will be visible on the Competition Website's Public Leaderboard. The potential winner(s) are determined solely by the leaderboard ranking on the Private Leaderboard, subject to compliance with these Rules. The Public Leaderboard will be based on the public test set and the Private Leaderboard will be based on the private test set.\nb. In the event of a tie, the Submission that was entered first to the Competition will be the winner. In the event a potential winner is disqualified for any reason, the Submission that received the next highest score rank will be chosen as the potential winner.\n\n####8. NOTIFICATION OF WINNERS & DISQUALIFICATION\na. The potential winner(s) will be notified by email. \nb. If a potential winner (i) does not respond to the notification attempt within one (1) week from the first notification attempt or (ii) notifies Kaggle within one week after the Final Submission Deadline that the potential winner does not want to be nominated as a winner or does not want to receive a Prize, then, in each case (i) and (ii) such potential winner will not receive any Prize, and an alternate potential winner will be selected from among all eligible entries received based on the Competition’s judging criteria.\nc. In case (i) and (ii) above Kaggle may disqualify the Participant. However, in case (ii) above, if requested by Kaggle, such potential winner may provide code and documentation to verify the Participant’s compliance with these Rules. If the potential winner provides code and documentation to the satisfaction of Kaggle, the Participant will not be disqualified pursuant to this paragraph.\nd. Competition Sponsor reserves the right to disqualify any Participant from the Competition if the Competition Sponsor reasonably believes that the Participant has attempted to undermine the legitimate operation of the Competition by cheating, deception, or other unfair playing practices or abuses, threatens or harasses any other Participants, Competition Sponsor or Kaggle.\ne. A disqualified Participant may be removed from the Competition leaderboard, at Kaggle's sole discretion. If a Participant is removed from the Competition Leaderboard, additional winning features associated with the Kaggle competition platform, for example Kaggle points or medals, may also not be awarded.\nf. The final leaderboard list will be publicly displayed at Kaggle.com. Determinations of Competition Sponsor are final and binding.\n\n####9. PRIZES\na. Prize(s) are as described on the Competition Website and are only available for winning during the time period described on the Competition Website. The odds of winning any Prize depends on the number of eligible Submissions received during the Competition Period and the skill of the Participants. \nb. All Prizes are subject to Competition Sponsor's review and verification of the Participant’s eligibility and compliance with these Rules, and the compliance of the winning Submissions with the Submissions Requirements. In the event that the Submission demonstrates non-compliance with these Competition Rules, Competition Sponsor may at its discretion take either of the following actions: (i) disqualify the Submission(s); or (ii) require the potential winner to remediate within one week after notice all issues identified in the Submission(s) (including, without limitation, the resolution of license conflicts, the fulfillment of all obligations required by software licenses, and the removal of any software that violates the software restrictions).\nc. A potential winner may decline to be nominated as a Competition winner in accordance with Section 3.8.\nd. Potential winners must return all required Prize acceptance documents within two (2) weeks following notification of such required documents, or such potential winner will be deemed to have forfeited the prize and another potential winner will be selected. Prize(s) will be awarded within approximately thirty (30) days after receipt by Competition Sponsor or Kaggle of the required Prize acceptance documents. Transfer or assignment of a Prize is not allowed. \ne. You are not eligible to receive any Prize if you do not meet the Eligibility requirements in Section 2.7 and Section 3.1 above.\nf. If a Team wins a monetary Prize, the Prize money will be allocated in even shares between the eligible Team members, unless the Team unanimously opts for a different Prize split and notifies Kaggle before Prizes are issued.\n\n####10. TAXES\na. ALL TAXES IMPOSED ON PRIZES ARE THE SOLE RESPONSIBILITY OF THE WINNERS. Payments to potential winners are subject to the express requirement that they submit all documentation requested by Competition Sponsor or Kaggle for compliance with applicable state, federal, local and foreign (including provincial) tax reporting and withholding requirements. Prizes will be net of any taxes that Competition Sponsor is required by law to withhold. If a potential winner fails to provide any required documentation or comply with applicable laws, the Prize may be forfeited and Competition Sponsor may select an alternative potential winner. Any winners who are U.S. residents will receive an IRS Form-1099 in the amount of their Prize.\n\n####11. GENERAL CONDITIONS\na. All federal, state, provincial and local laws and regulations apply.\n\n####12. PUBLICITY\na. You agree that Competition Sponsor, Kaggle and its affiliates may use your name and likeness for advertising and promotional purposes without additional compensation, unless prohibited by law.\n\n####13. PRIVACY\na. You acknowledge and agree that Competition Sponsor and Kaggle may collect, store, share and otherwise use personally identifiable information provided by you during the Kaggle account registration process and the Competition, including but not limited to, name, mailing address, phone number, and email address (“Personal Information”). Kaggle acts as an independent controller with regard to its collection, storage, sharing, and other use of this Personal Information, and will use this Personal Information in accordance with its Privacy Policy <[www.kaggle.com/privacy][6]>, including for administering the Competition. As a Kaggle.com account holder, you have the right to request access to, review, rectification, portability or deletion of any personal data held by Kaggle about you by logging into your account and/or contacting Kaggle Support at <[www.kaggle.com/contact][7]>.\nb. As part of Competition Sponsor performing this contract between you and the Competition Sponsor, Kaggle will transfer your Personal Information to Competition Sponsor, which acts as an independent controller with regard to this Personal Information. As a controller of such Personal Information, Competition Sponsor agrees to comply with all U.S. and foreign data protection obligations with regard to your Personal Information. Kaggle will transfer your Personal Information to Competition Sponsor in the country specified in the Competition Sponsor Address listed above, which may be a country outside the country of your residence. Such country may not have privacy laws and regulations similar to those of the country of your residence.\n\n####14. WARRANTY, INDEMNITY AND RELEASE \na. You warrant that your Submission is your own original work and, as such, you are the sole and exclusive owner and rights holder of the Submission, and you have the right to make the Submission and grant all required licenses. You agree not to make any Submission that: (i) infringes any third party proprietary rights, intellectual property rights, industrial property rights, personal or moral rights or any other rights, including without limitation, copyright, trademark, patent, trade secret, privacy, publicity or confidentiality obligations, or defames any person; or (ii) otherwise violates any applicable U.S. or foreign state or federal law.\nb. To the maximum extent permitted by law, you indemnify and agree to keep indemnified Competition Entities at all times from and against any liability, claims, demands, losses, damages, costs and expenses resulting from any of your acts, defaults or omissions and/or a breach of any warranty set forth herein. To the maximum extent permitted by law, you agree to defend, indemnify and hold harmless the Competition Entities from and against any and all claims, actions, suits or proceedings, as well as any and all losses, liabilities, damages, costs and expenses (including reasonable attorneys fees) arising out of or accruing from: (a) your Submission or other material uploaded or otherwise provided by you that infringes any third party proprietary rights, intellectual property rights, industrial property rights, personal or moral rights or any other rights, including without limitation, copyright, trademark, patent, trade secret, privacy, publicity or confidentiality obligations, or defames any person; (b) any misrepresentation made by you in connection with the Competition; (c) any non-compliance by you with these Rules or any applicable U.S. or foreign state or federal law; (d) claims brought by persons or entities other than the parties to these Rules arising from or related to your involvement with the Competition; and (e) your acceptance, possession, misuse or use of any Prize, or your participation in the Competition and any Competition-related activity.\nc. You hereby release Competition Entities from any liability associated with: (a) any malfunction or other problem with the Competition Website; (b) any error in the collection, processing, or retention of any Submission; or (c) any typographical or other error in the printing, offering or announcement of any Prize or winners.\n\n####15. INTERNET\na. Competition Entities are not responsible for any malfunction of the Competition Website or any late, lost, damaged, misdirected, incomplete, illegible, undeliverable, or destroyed Submissions or entry materials due to system errors, failed, incomplete or garbled computer or other telecommunication transmission malfunctions, hardware or software failures of any kind, lost or unavailable network connections, typographical or system/human errors and failures, technical malfunction(s) of any telephone network or lines, cable connections, satellite transmissions, servers or providers, or computer equipment, traffic congestion on the Internet or at the Competition Website, or any combination thereof, which may limit a Participant’s ability to participate.\n\n####16. RIGHT TO CANCEL, MODIFY OR DISQUALIFY\na. If for any reason the Competition is not capable of running as planned, including infection by computer virus, bugs, tampering, unauthorized intervention, fraud, technical failures, or any other causes which corrupt or affect the administration, security, fairness, integrity, or proper conduct of the Competition, Competition Sponsor reserves the right to cancel, terminate, modify or suspend the Competition. Competition Sponsor further reserves the right to disqualify any Participant who tampers with the submission process or any other part of the Competition or Competition Website. Any attempt by a Participant to deliberately damage any website, including the Competition Website, or undermine the legitimate operation of the Competition is a violation of criminal and civil laws. Should such an attempt be made, Competition Sponsor and Kaggle each reserves the right to seek damages from any such Participant to the fullest extent of the applicable law.\n\n####17. NOT AN OFFER OR CONTRACT OF EMPLOYMENT\na. Under no circumstances will the entry of a Submission, the awarding of a Prize, or anything in these Rules be construed as an offer or contract of employment with Competition Sponsor or any of the Competition Entities. You acknowledge that you have submitted your Submission voluntarily and not in confidence or in trust. You acknowledge that no confidential, fiduciary, agency, employment or other similar relationship is created between you and Competition Sponsor or any of the Competition Entities by your acceptance of these Rules or your entry of your Submission.\n\n####18. DEFINITIONS\na. \"Competition Data\" are the data or datasets available from the Competition Website for the purpose of use in the Competition, including any prototype or executable code provided on the Competition Website. The Competition Data will contain private and public test sets. Which data belongs to which set will not be made available to Participants. \nb. An “Entry” is when a Participant has joined, signed up, or accepted the rules of a competition. Entry is required to make a Submission to a competition.\nc. A “Final Submission” is the Submission selected by the user, or automatically selected by Kaggle in the event not selected by the user, that is/are used for final placement on the competition leaderboard.\nd. A “Participant” or “Participant User” is an individual who participates in a competition by entering the competition and making a Submission.\ne. The “Private Leaderboard” is a ranked display of Participants’ Submission scores against the private test set. The Private Leaderboard determines the final standing in the competition.\nf. The “Public Leaderboard” is a ranked display of Participants’ Submission scores against a representative sample of the test data. This leaderboard is visible throughout the competition.\ng. A “Sponsor” is responsible for hosting the competition, which includes but is not limited to providing the data for the competition, determining winners, and enforcing competition rules.\nh. A “Submission” is anything provided by the Participant to the Sponsor to be evaluated for competition purposes and determine leaderboard position. A Submission may be made as a model, notebook, prediction file, or other format as determined by the Sponsor.\ni. A “Team” is one or more Participants participating together in a Kaggle competition, by officially merging together as a Team within the competition platform.\n\n [1]: https://www.treasury.gov/resource-center/sanctions/Programs/Pages/Programs.aspx\n [2]: http://www.kaggle.com/terms\n [3]: http://www.opensource.org\n [4]: http://www.opensource.org\n [5]: https://www.kaggle.com/WinningModelDocumentationGuidelines\n [6]: http://www.kaggle.com/privacy\n [7]: http://www.kaggle.com/contact\n", "isPublished": false, "hasIsPublished": false, "postTitle": "", "hasPostTitle": false, "mimeType": "", "hasMimeType": false }, { "name": "Formulas for Calculated Fields", "content": "The following formulas are used to derive key metrics from raw sensor data. These define the relationships between measured variables and the target cooling load.\n\n### Chiller Power Consumption\n$$P = 3 \\times V \\times I$$\n\nwhere P is power in kilowatts (kW), V is single-phase voltage in volts (V), and I is current in amperes (A)\n\n### Chiller Cooling Load \n\n$$Q = m \\times C_p \\times \\Delta T$$\n\nwhere: \nQ is power in kilowatts (kW)\nm is mass flow rate in kg/s;\nCp is the specific heat capacity in kJ/kg°C; \nΔ T is the temperature difference in °C;\n\nAssume that:\nThe value of specific heat capacity (Cp) is 4.19 kJ/kg°C;\nThe mass of 1 litre of water is 1kg.\n\nThen: $$Q = m \\times C_p \\times \\Delta T= FR x Cp ×ΔT = FR \\times C_p \\times \\Delta T $$\n\nwhere FR is the water flow rate in litre (L)\n\n### Coefficient of Performance (COP)\n\n$$ \\mathrm{COP} = \\frac{\\text{Chiller Cooling Load}}{\\text{Chiller Power Consumption}}$$\n\n### Total Cooling Load\n\nTotal Cooling Load = Sum of all individual chiller cooling loads (`CHR-01-CL` + `CHR-02-CL` + `CHR-03-CL`).\n", "isPublished": false, "hasIsPublished": false, "postTitle": "", "hasPostTitle": false, "mimeType": "", "hasMimeType": false } ] }