Binding: Paperback
Description: Multi - Criteria Decision - Making for Renewable Energy: Methods Applications and Challenges brings together the latest fuzzy and soft computing methods models and algorithms as applied to the field of renewable energy and supported by specific application examples and case studies. The book begins by approaching renewable energy sources challenges and factors that affect their development as well as green renewable energy sites and the utilization of fuzzy multi - criteria decision - making (MCDM) techniques in these broad contexts as well as utilization in addressing the various environmental economic and social barriers to ensuring the sustainability of energy resources. Detailed chapters focus on the application of multi - criteria decision - making methods for planning modeling and prioritization in specific areas of renewable energy including solar energy wind farms solar - powered hydrogen production plants biofuel production energy storage hydropower and marine energy. Finally future opportunities and research directions are explored.
Title: Multi - Criteria Decision - Making For Renewable Energy Methods Applications And Challenges
Author(s): Hossain Md Alamgir (Research Fellow Queensland Micro - And Nano - Technology Centre Griffith University Australia)
Publisher: Elsevier - Health Sciences Division
Barcode: 9780443133787
Pages: 300 Pages
Publication Date: 10/24/2023
Category: Machine Learning