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General short-term load forecasting based on multi-task temporal convolutional network in COVID-19

The spread of the global COVID-19 epidemic has resulted in significant shifts in electricity consumption compared to regular days. It is unknown if standard single-task, single-indicator load forecasting algorithms can accurately reflect COVID-19 load patterns. Power practitioners urgently want a si...

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Detalles Bibliográficos
Autores principales:	Zhang, Zhenhao, Liu, Jiefeng, Pang, Senshen, Shi, Mingchen, Goh, Hui Hwang, Zhang, Yiyi, Zhang, Dongdong
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Elsevier Ltd. 2023
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9684111/ http://dx.doi.org/10.1016/j.ijepes.2022.108811

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