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2021 • A hybrid multi-objective optimizer-based model for daily electricity demand prediction considering COVID-19.

Authors: Hongfang Lu, Xin Ma, Minda Ma

Abstract: Highlights • A hybrid model is developed for predicting daily electricity demand during COVID-19. • The accuracy and stability of the new model are higher than those of benchmark models. • The proposed model also performs well in multi-step prediction. • The model that only considers daily infections has the best prediction performance.

External links: OpenAIRE

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A hybrid multi-objective optimizer-based model for daily electricity demand prediction con (...)

Hongfang Lu, Xin Ma, Minda Ma

Energy · 2021

Machine learning |

Open Access

Article