Prediction of electricity consumption during epidemic period based on improved particle swarm optimization algorithm

A prediction method of electricity consumption is developed in order to address the problems of big change and imbalance in electricity consumption caused by COVID-19. In this method, BP (Back Propagation) neural network and improved particle swarm optimization (IPSO) algorithm are combined and appl...

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Detalles Bibliográficos
Autores principales: Li, Xiaole, Wang, Yiqin, Ma, Guibo, Chen, Xin, Fan, Jun, Yang, Bo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Author(s). Published by Elsevier Ltd. 2022
Materias:
2022 International Symposium on New Energy Technology Innovation and Low Carbon Development (NET-LC 2022), January 21 to 23, 2022, Kunming, China
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9156869/
http://dx.doi.org/10.1016/j.egyr.2022.05.088

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9156869/
http://dx.doi.org/10.1016/j.egyr.2022.05.088

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