Unraveling data, diving into books, and mastering calisthenics as my trifecta.

Description

This project, ranking 5th solo among 236 teams, aims to predict Europe’s next-hour renewable energy surplus. It utilizes XGBoost, LightGBM, and LSTM models, trained on 2022 data and tested on early 2023 data, providing key insights into renewable energy forecasting trends.

Check the GitHub repository for more details.