Fuzzy Logic Based Integrated Energy Resource Planning - Jinturkar, Adesh;Deshmukh, Sandip
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This book is all about the application of fuzzy logic technique for the energy planning process. It demonstrates the use of fuzzy goal programming model for energy resource allocation at the micro level, where the energy resources and needs are uncertain. This book presents an integrated planning approach by adopting multinomial logit model to household fuel choice behaviour for heating and cooking end-uses; and applies real option model for the policy evaluation of biogas and solar water heater system in the study region. This book is very useful for researchers who wish to work in the area of integrated fuzzy logic and energy resource planning.…mehr

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Produktbeschreibung
This book is all about the application of fuzzy logic technique for the energy planning process. It demonstrates the use of fuzzy goal programming model for energy resource allocation at the micro level, where the energy resources and needs are uncertain. This book presents an integrated planning approach by adopting multinomial logit model to household fuel choice behaviour for heating and cooking end-uses; and applies real option model for the policy evaluation of biogas and solar water heater system in the study region. This book is very useful for researchers who wish to work in the area of integrated fuzzy logic and energy resource planning.
Autorenporträt
Adesh Jinturkar is an academician in the field of Energy Planning. Adesh has done his Bachelors and Masters of Engineering in Mechanical Engineering from Amravati University, India. He has vast experience in the area of Fuzzy logic applications and energy planning. He has several international journal publications to his credit.