Intelligent Decision Support System for Energy Management in Demand Response Programs and Residential and Industrial Sectors of the Smart Grid
Access Status
Open access
Authors
Ameri Sianaki, Omid
Date
2015Supervisor
Prof. Mohammad Sherkat Masoum
Dr Ryan Loxton
Type
Thesis
Award
PhD
Metadata
Show full item recordSchool
School of Information Systems, Curtin Business School
Collection
Abstract
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.
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