Development of a multi-granularity energy forecasting toolkit for demand response baseline calculation

•Review of feature engineering research for HVAC energy forecasting models.•A novel feature engineering method for exploring informative features.•An easy-to-use, high-accuracy toolkit for demand response baseline calculation.•Comparative tests verify the stability and accuracy of this energy predic...

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Veröffentlicht in:Applied energy 2021-05, Vol.289, p.116652, Article 116652
Hauptverfasser: Sha, Huajing, Xu, Peng, Lin, Meishun, Peng, Chen, Dou, Qiang
Format: Artikel
Sprache:eng
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Zusammenfassung:•Review of feature engineering research for HVAC energy forecasting models.•A novel feature engineering method for exploring informative features.•An easy-to-use, high-accuracy toolkit for demand response baseline calculation.•Comparative tests verify the stability and accuracy of this energy prediction toolkit.•The average CV-RMSE of the target models for hourly energy prediction is
ISSN:0306-2619
1872-9118
DOI:10.1016/j.apenergy.2021.116652