Wind Power forecasting for the day-ahead energy market - Data Challenge

by Compagnie Nationale du Rhône, ENS Paris & Collège de France

Challenge website: https://challengedata.ens.fr/participants/challenges/34/

The objective of this challenge is to design and train an ML/DL model to predict the hourly electrical production of six independent wind farms owned by CNR for the day ahead, using multiple Numerical Weather Predictions (NWP) models. This is a supervised learning problem based on multivariate time series.

The notebook is fully compatible with Google Colab, feel free to try it yourself ! https://colab.research.google.com/github/qcha41/wind-power-forecasting-challenge/blob/master/notebook.ipynb