Renewable Energy

Pathways for Renewable Energy Planning coupling Short-term Hydropower OperaTion

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The windML framework provides an easy-to-use access to wind data sources within the Python world, building upon numpy, scipy, sklearn, and matplotlib. Renewable Wind Energy, Forecasting, Prediction

Carbon Explorer helps evaluating solutions make datacenters operate on renewable energy.

This project forecasts renewable energy demand using LSTM-based time series models. It processes historical demand data, trains predictive models, and visualizes future trends, enabling better plannin

Generates input data for energy models on renewable energy in arbitrary world regions using public datasets. Written in Julia 1.x.

Applied machine learning toolkit implementing Double Machine Learning for Energy Analytics.

Model for paper on IEEE transactions on sustainable energy: Application of Stochastic Dual Dynamic Programming to the Real-Time Dispatch of Storage under Renewable Supply Uncertainty