Optimization model of electricity metering management based on MOPSO

In response to the difficulty of balancing economy and accuracy in traditional energy metering management methods, an improved particle swarm optimization model is designed to optimize energy metering management based on multi-objective particle swarm optimization, thereby achieving optimal resource...

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Bibliographic Details
Published in:	Renewables : wind, water, and solar Vol. 12; no. 1; pp. 29 - 19
Main Authors:	Li, Sheng, Zhou, Xiaodan
Format:	Journal Article
Language:	English
Published:	London BioMed Central 05.06.2025 Springer Nature B.V SpringerOpen
Subjects:	Accuracy Algorithms Computer applications Economics and Management Electric power loss Electricity metering management Energy Energy Policy Energy Systems Management Management methods Multi-objective particle swarm algorithm Multiple objective analysis Operating costs Optimization Optimization models Particle swarm optimization PSO Renewable and Green Energy Resource allocation Test Water Industry/Water Technologies Multi-objective particle swarm algorithm Test PSO Optimization Electricity metering management
ISSN:	2731-9237, 2731-9237, 2198-994X
Online Access:	Get full text
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