Modified Multi-objective Particle Swarm Optimization Method and its Application to Energy Management System for Factories

Abstract

Conventional energy management systems (EMS) for factories have been developed to minimize energy costs. However we have to reduce energy consumptions and CO₂ emissions to preserve our earth environment. This paper proposes a multi-objective optimization method based on particle swarm optimization (PSO) to minimize energy costs and CO₂ emissions, and presents its effectiveness through simulation results.