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  "fetched_at": "2026-10-24T16:55:13Z",
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      "content": "Before training a model on the whole training set, you may want to isolate the last year of the training set as a development set to avoid overfitting on the public test set.\n\n## Files\n\n*   **train.csv** - the training set\n*   **test.csv** - the test set\n*   **sample_submission.csv** - a sample submission file in the correct format\n\n## Generic calendar columns\n*   **Id** index\n*   **date** date - format yyyy-mm-dd HH:MM:SS\n*   **Date** date - format yyyymmdd\n*   **month** month - format mm\n*   **year** year - format yy\n*   **tod** time of day 0 = 00:00, 1 = 00:30, ..., 46 = 23:00, 47 = 23:30\n*   **toy** time of year 0 (1st of January) to 1 (31st of December)\n*   **week_number** number of the week\n*   **period_hour_changed** 1 summer time 0 winter time\n\n## Electric consumption related features\n*   **temperature** French temperature (K), by regional electrical consumption weights\n*   **nebulosity** French nebulosity (%), by regional electrical consumption weights\n*   **wind** French wind speed (m/s), by regional electrical consumption weights\n*   **day_type_week** 0 = Monday, 1 = Tuesday, 2 = Wednesday, 3 = Thursday, 4 = Friday, 5 = Saturday, 6 = Sunday\n*   **day_type_jf** 1 on bank holidays, else 0\n*   **day_type_week_jf** 1  for bank holidays or week-ends, else 0\n*   **period_holiday** 1 on French national holidays (zones a,b and c), else 0\n*   **period_christmas** 1 on Christmas holidays, else 0\n*   **period_summer** 1 on summer holidays, else 0\n\n## Solar Power related features\n*   **nebulosity_by_solar_power_weights** French nebulosity (%), by regional solar power weights\n\n## Wind Power related features\n*   **wind_by_wind_power_weights** French wind speed (m/s), by regional wind power weights\n\n## Targeted features\n*   **Load** French national load (MW)\n*   **Solar_power** French solar power (MW)\n*   **Wind_power** French wind power (MW)\n*   **Electricity_balance_not_controllable** = **Load** - **Solar_power** - **Wind_power**",
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      "name": "Description",
      "content": "## Welcome to the 2024 Not Controllable Electricity Balance Forecast Challenge\n\nThe goal is to create innovative forecast models of the French Not Controllable Electricity Balance. This Kaggle In-Class platform enables you:\n. to work as a team\n. access data\n. code online (notebook or scripts)\n. submit your predictions\t\n\n## Data context\n\nWe will dive into the electricity consumption or the renewable powers world to predict more accurately the French Not Controllable Electricity Balance (MW).\n\nThe data features come from:\n. an open platform of the French government for the calendar features\n. a synop weather station network for the climatic features\n. a selection of index meter reader (M+1 – M+12), eventually corrected by a temporal reconciliation (Y+2) for the targeted features\n. some feature engineering that you are invited to challenge\n\n## Success tips\n\nFind best models, think about an online solution, feel free to invent new features, surprise us!\n\n\n```\n# dataset features\n\n\"\"\"\n## Generic calendar columns\n*   **Id** index\n*   **date** date - format yyyy-mm-dd HH:MM:SS\n*   **Date** date - format yyyymmdd\n*   **month** month - format mm\n*   **year** year - format yy\n*   **tod** time of day 0 = 00:00, 1 = 00:30, ..., 46 = 23:00, 47 = 23:30\n*   **toy** time of year 0 (1st of January) to 1 (31st of December)\n*   **week_number** number of the week\n*   **period_hour_changed** 1 summer time 0 winter time\n\n## Electric consumption related features\n*   **temperature** French temperature (K), by regional electrical consumption weights\n*   **nebulosity** French nebulosity (%), by regional electrical consumption weights\n*   **wind** French wind speed (m/s), by regional electrical consumption weights\n*   **day_type_week** 0 = Monday, 1 = Tuesday, 2 = Wednesday, 3 = Thursday, 4 = Friday, 5 = Saturday, 6 = Sunday\n*   **day_type_jf** 1 on bank holidays, else 0\n*   **day_type_week_jf** 1  for bank holidays or week-ends, else 0\n*   **period_holiday** 1 on French national holidays (zones a,b and c), else 0\n*   **period_christmas** 1 on Christmas holidays, else 0\n*   **period_summer** 1 on summer holidays, else 0\n\n## Solar Power related features\n*   **nebulosity_by_solar_power_weights** French nebulosity (%), by regional solar power weights\n\n## Wind Power related features\n*   **wind_by_wind_power_weights** French wind speed (m/s), by regional wind power weights\n\n## Targeted features\n*   **Load** French national load (MW)\n*   **Solar_power** French solar power (MW)\n*   **Wind_power** French wind power (MW)\n*   **Electricity_balance_not_controllable** = **Load** - **Solar_power** - **Wind_power**\n```\n\nSources :\n- https://www.data.gouv.fr/fr/datasets/vacances-scolaires-par-zones/ (Licence Ouverte / Open Licence https://www.etalab.gouv.fr/wp-content/uploads/2014/05/Licence_Ouverte.pdf)\n- https://www.data.gouv.fr/fr/datasets/jours-feries-en-france/ (Licence Ouverte / Open Licence version 2.0 --- https://etalab.gouv.fr/licence-ouverte-open-licence)\n- https://public.opendatasoft.com/explore/dataset/donnees-synop-essentielles-omm/export/?sort=date (Licence Ouverte v1.0 https://www.etalab.gouv.fr/wp-content/uploads/2014/05/Licence_Ouverte.pdf)\n- https://www.rte-france.com/en/eco2mix/download-indicators (Licence Ouverte / Open Licence version 2.0 --- https://etalab.gouv.fr/licence-ouverte-open-licence)",
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      "content": "- Work as a team 🤝\n- Have fun 🎮\n- Share your methods with the community 🗺️\n\n\nSources and licenses :\n\nhttps://www.data.gouv.fr/fr/datasets/vacances-scolaires-par-zones/ (Licence Ouverte / Open Licence https://www.etalab.gouv.fr/wp-content/uploads/2014/05/Licence_Ouverte.pdf)\nhttps://www.data.gouv.fr/fr/datasets/jours-feries-en-france/ (Licence Ouverte / Open Licence version 2.0 --- https://etalab.gouv.fr/licence-ouverte-open-licence)\nhttps://public.opendatasoft.com/explore/dataset/donnees-synop-essentielles-omm/export/?sort=date (Licence Ouverte v1.0 https://www.etalab.gouv.fr/wp-content/uploads/2014/05/Licence_Ouverte.pdf)\nhttps://www.rte-france.com/en/eco2mix/download-indicators (Licence Ouverte / Open Licence version 2.0 --- https://etalab.gouv.fr/licence-ouverte-open-licence)",
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