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dc.contributor.authorAmeri Sianaki, Omid
dc.contributor.supervisorProf. Mohammad Sherkat Masoum
dc.contributor.supervisorDr Ryan Loxton

This PhD thesis addresses the complexity of the energy efficiency control problem in residential and industrial customers of Smart electrical Grid, and examines the main factors that affect energy demand, and proposes an intelligent decision support system for applications of demand response. A multi criteria decision making algorithm is combined with a combinatorial optimization technique to assist energy managers to decide whether to participate in demand response programs or obtain energy from distributed energy resources.

dc.publisherCurtin University
dc.titleIntelligent Decision Support System for Energy Management in Demand Response Programs and Residential and Industrial Sectors of the Smart Grid
curtin.departmentSchool of Information Systems, Curtin Business School
curtin.accessStatusOpen access

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