GCA-BULF is a bottom-up STLF framework that filters and groups critical appliances for collaborative forecasting, reporting 20.85-57.88% better hourly accuracy than top-down methods on residential and office data.
Hybrid multitask multi-information fusion deep learning for household short-term load forecasting
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GCA-BULF: A Bottom-Up Framework for Short-Term Load Forecasting Using Grouped Critical Appliances
GCA-BULF is a bottom-up STLF framework that filters and groups critical appliances for collaborative forecasting, reporting 20.85-57.88% better hourly accuracy than top-down methods on residential and office data.