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

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9684111/
http://dx.doi.org/10.1016/j.ijepes.2022.108811

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