galpynostatic
A Python/C++ package with physics-based models to predict optimal conditions for fast-charging lithium-ion batteries.
battery data-driven fast-charging heuristic-algorithm metrics physics-based predictions regression-models
Energy Storage - Battery - Last synced: 27 Feb 2026 - Ranking: 8.2
NYCBuildingEnergyUse
Predict the emission of greenhouse gases from buildings by looking at their age, and water consumption as well as other energy consumption metrics.
bokeh data-science energy-efficiency exploratory-data-analysis google-app-engine missing-data missing-values outlier-detection outlier-removal regression regression-models scikit-learn xgboost
Consumption - Buildings and Heating - Last synced: 26 Feb 2026 - Ranking: 4.1
