On Alberta's 42-area load data, global LightGBM and XGBoost with weighted instance clustering outperform local models, while global Ridge regression is slightly less accurate but far more scalable.
”A scalable ensemble approach to forecast the electricity consumption of households.” IEEE Transactions on Smart Grid 14, no
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Globalization for Scalable Short-term Load Forecasting
On Alberta's 42-area load data, global LightGBM and XGBoost with weighted instance clustering outperform local models, while global Ridge regression is slightly less accurate but far more scalable.