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 |
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Hauptverfasser: | , , , , |
Format: | Artikel |
Sprache: | eng |
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Online-Zugang: | Volltext |
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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 |
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ISSN: | 0306-2619 1872-9118 |
DOI: | 10.1016/j.apenergy.2021.116652 |