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