Welcome! Your task is to estimate the energy consumption of buildings over time. There are multiple viable routes for tackling this problem including time series, hierarchical, and standard regression techniques. You'll also need to to handle missing and noisy data. Accurate models of building energy use have many possible applications, so we're excited to see what you can come up with.
\n\nIf you need a change of pace consider taking a look at our replica of the original competition from 1993. That was back when support vector machines were cutting edge! It's just for fun, but will hopefully give you a good sense of just how far the field of machine learning has come in the last couple of decades.
\n\nHappy Kaggling!
", "messages": [ { "id": "649764", "postDate": "10/15/2019 18:28:09", "content": "Welcome! Your task is to estimate the energy consumption of buildings over time. There are multiple viable routes for tackling this problem including time series, hierarchical, and standard regression techniques. You'll also need to to handle missing and noisy data. Accurate models of building energy use have many possible applications, so we're excited to see what you can come up with.
\n\nIf you need a change of pace consider taking a look at our replica of the original competition from 1993. That was back when support vector machines were cutting edge! It's just for fun, but will hopefully give you a good sense of just how far the field of machine learning has come in the last couple of decades.
\n\nHappy Kaggling!
", "rawMarkdown": "Welcome! Your task is to estimate the energy consumption of buildings over time. There are multiple viable routes for tackling this problem including time series, hierarchical, and standard regression techniques. You'll also need to to handle missing and noisy data. Accurate models of building energy use have many possible applications, so we're excited to see what you can come up with.\n\nIf you need a change of pace consider taking a look at our [replica of the original competition from 1993](https://www.kaggle.com/c/great-energy-predictor-shootout-i/overview). That was back when support vector machines were cutting edge! It's just for fun, but will hopefully give you a good sense of just how far the field of machine learning has come in the last couple of decades.\n\nHappy Kaggling!", "votes": null }, { "id": "650461", "postDate": "10/16/2019 12:17:46", "content": "Hi, I found Rules wrote\nYou may submit a maximum of 5 entries per day.\nBut Submission Predictions showed\nYou have 2 submissions remaining today even I have not submit any files.\nCould you confirm it?
Same issue I have.
", "rawMarkdown": "Same issue I have.", "votes": null }, { "id": "651333", "postDate": "10/17/2019 10:49:19", "content": "Submission Limits have been updated: \" You may submit a maximum of 2 entries per day.\"
\n\nref: https://www.kaggle.com/c/ashrae-energy-prediction/discussion/112993#latest-650748
", "rawMarkdown": "Submission Limits have been updated: \" You may submit a maximum of 2 entries per day.\"\n\nref: https://www.kaggle.com/c/ashrae-energy-prediction/discussion/112993#latest-650748", "votes": null }, { "id": "659501", "postDate": "10/27/2019 19:24:12", "content": "Hi there, \nIs meter reading per timestamp cumulative? I found that meter reading for a building id with respect to meter no. is not fluctuating per timestamp.
", "rawMarkdown": "Hi there, \nIs meter reading per timestamp cumulative? I found that meter reading for a building id with respect to meter no. is not fluctuating per timestamp.", "votes": null }, { "id": "690261", "postDate": "12/08/2019 08:46:24", "content": "I have searched a lot of notebooks and threads but still a bit confused.\nMy question is about the timestamps on all of the datasets(train, test, weather_train, weather_test)\nare they local time or GMT time? or some of them are local time, others GMT time?
", "rawMarkdown": "I have searched a lot of notebooks and threads but still a bit confused.\nMy question is about the timestamps on all of the datasets(train, test, weather_train, weather_test)\nare they local time or GMT time? or some of them are local time, others GMT time?", "votes": null } ], "comments": [ { "id": 650461, "author_name": "senkin13", "author_url": "", "post_date": "10/16/2019 12:17:46", "content": "Hi, I found Rules wrote\nYou may submit a maximum of 5 entries per day.\nBut Submission Predictions showed\nYou have 2 submissions remaining today even I have not submit any files.\nCould you confirm it?
Same issue I have.
", "votes": null, "replies": [] }, { "id": 651333, "author_name": "grapestone5321", "author_url": "", "post_date": "10/17/2019 10:49:19", "content": "Submission Limits have been updated: \" You may submit a maximum of 2 entries per day.\"
\n\nref: https://www.kaggle.com/c/ashrae-energy-prediction/discussion/112993#latest-650748
", "votes": null, "replies": [] } ] }, { "id": 659501, "author_name": "cadman23", "author_url": "", "post_date": "10/27/2019 19:24:12", "content": "Hi there, \nIs meter reading per timestamp cumulative? I found that meter reading for a building id with respect to meter no. is not fluctuating per timestamp.
", "votes": null, "replies": [] }, { "id": 690261, "author_name": "navidivan", "author_url": "", "post_date": "12/08/2019 08:46:24", "content": "I have searched a lot of notebooks and threads but still a bit confused.\nMy question is about the timestamps on all of the datasets(train, test, weather_train, weather_test)\nare they local time or GMT time? or some of them are local time, others GMT time?
", "votes": null, "replies": [] } ], "raw_markdown_by_id": { "649764": "Welcome! Your task is to estimate the energy consumption of buildings over time. There are multiple viable routes for tackling this problem including time series, hierarchical, and standard regression techniques. You'll also need to to handle missing and noisy data. Accurate models of building energy use have many possible applications, so we're excited to see what you can come up with.\n\nIf you need a change of pace consider taking a look at our [replica of the original competition from 1993](https://www.kaggle.com/c/great-energy-predictor-shootout-i/overview). That was back when support vector machines were cutting edge! It's just for fun, but will hopefully give you a good sense of just how far the field of machine learning has come in the last couple of decades.\n\nHappy Kaggling!", "650461": "Hi, I found Rules wrote\n```You may submit a maximum of 5 entries per day.```\nBut Submission Predictions showed\n```You have 2 submissions remaining today``` even I have not submit any files.\nCould you confirm it?", "650524": "Same issue I have.", "651333": "Submission Limits have been updated: \" You may submit a maximum of 2 entries per day.\"\n\nref: https://www.kaggle.com/c/ashrae-energy-prediction/discussion/112993#latest-650748", "659501": "Hi there, \nIs meter reading per timestamp cumulative? I found that meter reading for a building id with respect to meter no. is not fluctuating per timestamp.", "690261": "I have searched a lot of notebooks and threads but still a bit confused.\nMy question is about the timestamps on all of the datasets(train, test, weather_train, weather_test)\nare they local time or GMT time? or some of them are local time, others GMT time?" }, "source": "meta" }