Improved hybrid sparrow search algorithm for an extreme learning machine neural network for short‐term photovoltaic power prediction in 5G energy‐routing base stations

Abstract Given the advancements in solar power generation and fifth‐generation (5G) technologies, it is crucial to reduce energy consumption based on accurate predictions of the photovoltaic power requirements of 5G base stations (BSs) connected to renewable energy sources. To ensure sufficient pred...

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Bibliographic Details
Main Authors: Ming Yan, Wenhao Guo, Yongle Hu, Feng Xu, Junjiang Chen, Qi Du, Hanbo Zheng, Tuanfa Qin
Format: Article
Language:English
Published: Wiley 2023-02-01
Series:IET Renewable Power Generation
Online Access:https://doi.org/10.1049/rpg2.12600