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.
Dileep, A survey on smart grid technologies and applications, Renew- able energy 146 (2020) 2589–2625
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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.