Pinned Loading
-
-
Electricity-Usage-Prediction
Electricity-Usage-Prediction PublicElectricity usage forecasting project for the Dacon competition. Utilizes time-series regression models such as LightGBM, XGBoost, and CatBoost to predict future power consumption. Includes feature…
Jupyter Notebook
-
SolarPowerForecasting
SolarPowerForecasting PublicSolar power forecasting for grid integration - predicting 15min, 1hr, and 4hr ahead using Ridge, XGBoost, LightGBM, and CatBoost with Time Series CV, uncertainty quantification, and SHAP explainabi…
Jupyter Notebook 2
-
MicrogridEnergyManagementOptimization
MicrogridEnergyManagementOptimization PublicOptimization-based energy management system using real NSW NEM market data. Reduces electricity cost by strategically scheduling battery charge/discharge to avoid wholesale price spikes (>$5,000/MW…
Python 1
-
NemPriceVolatilityAnalysis
NemPriceVolatilityAnalysis PublicAnalysis of 5-minute electricity price spikes and volatility in NSW (Australia NEM)
Python
If the problem persists, check the GitHub status page or contact support.
