Short-Term Power Load Forecasting Method based on Glowworm Swarm Optimization Algorithm

Short-Term Power Load Forecasting Method based on Glowworm Swarm Optimization Algorithm

With the rapid development of the power industry, the power load prediction is becoming more and more important in recent years, and short-term load prediction plays an extremely important role in dispatching and market operation of the power system. Power load prediction can effectively improve the...

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Bibliographic Details
Main Author:	Haihong FAN
Format:	Article
Language:	zho
Published:	State Grid Energy Research Institute 2021-03-01
Series:	Zhongguo dianli
Subjects:	short-term power load forecasting glowworm swarm optimization algorithm selective ensemble learning meteorological factor forecasting model
Online Access:	https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.202011132
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