Power system load forecasting using mobility optimization and multi-task learning in COVID-19

Affected by the new coronavirus (COVID-19) pandemic, global energy production and consumption have changed a lot. It is unknown whether conventional short-term load forecasting methods based on single-task, single-region, and conventional indicators can accurately capture the load pattern during the...

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Detalles Bibliográficos
Autores principales: Liu, Jiefeng, Zhang, Zhenhao, Fan, Xianhao, Zhang, Yiyi, Wang, Jiaqi, Zhou, Ke, Liang, Shuo, Yu, Xiaoyong, Zhang, Wei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Ltd. 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8758938/
https://www.ncbi.nlm.nih.gov/pubmed/35043028
http://dx.doi.org/10.1016/j.apenergy.2021.118303

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8758938/
https://www.ncbi.nlm.nih.gov/pubmed/35043028
http://dx.doi.org/10.1016/j.apenergy.2021.118303

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