Intelligent Decision Support System for Energy Management in Demand Response Programs and Residential and Industrial Sectors of the Smart Grid
MetadataShow full item record
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.
Showing items related by title, author, creator and subject.
Selecting an economically suitable and sustainable solution for a renewable energy-powered water desalination system: A rural Australian case studyFornarelli, R.; Shahnia, Farhad; Anda, M.; Bahri, P.; Ho, G. (2018)Renewable energy (RE) powered reverse osmosis (RO) desalination is rapidly evolving as an attractive energy-water nexus solution that combines the sustainability of RE and the maturity of RO. The intermittent and fluctuating ...
Musee, N.; Lorenzen, L.; Aldrich, Chris (2006)The current trend associated with high energy demand, depletion of energy reserves and low potential of renewable energy sources linked with strong industrial growth, is increasingly becoming unsustainable. As a result, ...
Oil consumption, pollutant emission, oil proce volatility and economic activities in selected Asian Developing EconomiesRafiq, Shuddhasattwa (2009)It is now well established in the literature that oil consumption, oil price shocks, and oil price volatility may impact the economic activities negatively. Studies identifying the relationship between energy and/or oil ...