A three-part taxonomy (domain, contextual, behavioral) guides feature engineering that improves hour-ahead household electricity forecast accuracy by roughly 4 percentage points in MPE on three public datasets.
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Data Model Design for Explainable Machine Learning-based Electricity Applications
A three-part taxonomy (domain, contextual, behavioral) guides feature engineering that improves hour-ahead household electricity forecast accuracy by roughly 4 percentage points in MPE on three public datasets.