## Welcome to the 2024 Not Controllable Electricity Balance Forecast Challenge

The goal is to create innovative forecast models of the French Not Controllable Electricity Balance. This Kaggle In-Class platform enables you:
. to work as a team
. access data
. code online (notebook or scripts)
. submit your predictions	

## Data context

We will dive into the electricity consumption or the renewable powers world to predict more accurately the French Not Controllable Electricity Balance (MW).

The data features come from:
. an open platform of the French government for the calendar features
. a synop weather station network for the climatic features
. a selection of index meter reader (M+1 – M+12), eventually corrected by a temporal reconciliation (Y+2) for the targeted features
. some feature engineering that you are invited to challenge

## Success tips

Find best models, think about an online solution, feel free to invent new features, surprise us!


```
# dataset features

"""
## Generic calendar columns
*   **Id** index
*   **date** date - format yyyy-mm-dd HH:MM:SS
*   **Date** date - format yyyymmdd
*   **month** month - format mm
*   **year** year - format yy
*   **tod** time of day 0 = 00:00, 1 = 00:30, ..., 46 = 23:00, 47 = 23:30
*   **toy** time of year 0 (1st of January) to 1 (31st of December)
*   **week_number** number of the week
*   **period_hour_changed** 1 summer time 0 winter time

## Electric consumption related features
*   **temperature** French temperature (K), by regional electrical consumption weights
*   **nebulosity** French nebulosity (%), by regional electrical consumption weights
*   **wind** French wind speed (m/s), by regional electrical consumption weights
*   **day_type_week** 0 = Monday, 1 = Tuesday, 2 = Wednesday, 3 = Thursday, 4 = Friday, 5 = Saturday, 6 = Sunday
*   **day_type_jf** 1 on bank holidays, else 0
*   **day_type_week_jf** 1  for bank holidays or week-ends, else 0
*   **period_holiday** 1 on French national holidays (zones a,b and c), else 0
*   **period_christmas** 1 on Christmas holidays, else 0
*   **period_summer** 1 on summer holidays, else 0

## Solar Power related features
*   **nebulosity_by_solar_power_weights** French nebulosity (%), by regional solar power weights

## Wind Power related features
*   **wind_by_wind_power_weights** French wind speed (m/s), by regional wind power weights

## Targeted features
*   **Load** French national load (MW)
*   **Solar_power** French solar power (MW)
*   **Wind_power** French wind power (MW)
*   **Electricity_balance_not_controllable** = **Load** - **Solar_power** - **Wind_power**
```

Sources :
- 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)
- 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)
- 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)
- https://www.rte-france.com/en/eco2mix/download-indicators (Licence Ouverte / Open Licence version 2.0 --- https://etalab.gouv.fr/licence-ouverte-open-licence)