Chatterjee P. Optimization in Sustainable Energy. Methods and Applications 2025

Textbook in PDF format

This state-of-the-art book offers cutting-edge optimization techniques and practical decision-making frameworks essential for enhancing the efficiency and reliability of sustainable energy systems, making it an invaluable resource for researchers, policymakers, and energy professionals.Optimization in Sustainable Energy: Methods and Applications brings together valuable knowledge, methods, and practical examples to help scholars, researchers, professionals, and policymakers address the growing challenges of optimizing sustainable energy.
Preface
Part I: Multi-criteria optimization and strategic planning in sustainable energy
Strategic Roadmap for Turkey’s Sustainable Energy Transition: A Multi-Criteria Perspective
A Novel p, q-Quasirung Orthopair Fuzzy Group Decision-Making Framework for Selection of Renewable Energy Sources
Evaluating Carbon Footprint Reduction Strategies: A Fuzzy Multi-Criteria Decision-Making Approach
Prioritizing Sustainable Energy Strategies Using Multi-Criteria Decision-Making Models in Type-2 Neutrosophic Environment
ENTROPY-Based Evaluation of Global Renewable Energy Trends
Part II: Optimization techniques in sustainable energy
Optimization in Sustainable Energy: A Bibliometric Analysis
A Novel Optimization-Based Cooling System for Improving Efficacy of Solar Panels Under Changing Climatic Conditions
Multi-Objective Optimization in Sustainable Energy
Data Analytics for Performance Optimization in Renewable Energy
Integration of Smart Grids in Energy Optimization
Markov Model-Based Reliability Evaluation of Multiport Converter Fed Induction Motor Drive for Electric Vehicle Applications
Forecasting Wind Energy Produced from Wind Turbine: A Markov Chain-Based Approach
Efficient Optimization Techniques for Renewable and Sustainable Energy Systems
Energy Optimization: Challenges, Issues, and Role of Machine Learning Techniques