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

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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Bibliographic Details
Main Authors: Xiaole Li, Yiqin Wang, Guibo Ma, Xin Chen, Jun Fan, Bo Yang
Format: Article
Language:English
Published: Elsevier 2022-10-01
Series:Energy Reports
Subjects:
COVID-19
Prediction of electricity consumption
Modeling
BP neural network
Improved particle swarm optimization
Epidemic
Online Access:http://www.sciencedirect.com/science/article/pii/S2352484722009362

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http://www.sciencedirect.com/science/article/pii/S2352484722009362

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