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.
”Global models for time series forecasting: A simulation study.” Pat- tern Recognition 124 (2022): 108441
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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.