Green Energy Technologies and AI for Sustainable Development

1. Auflage 2026
ISBN: 978-1-77964-044-4
Verlag: Taylor & Francis Ltd

Buch, Englisch, 534 Seiten, Format (B × H): 152 mm x 229 mm, Gewicht: 880 g

The growing urgency to address climate change and transition toward cleaner, more sustainable energy systems has made the integration of renewable energy and artificial intelligence increasingly important. AI technologies are creating new opportunities to improve the efficiency, reliability, and affordability of renewable energy systems while supporting broader sustainability goals. This timely volume explores these powerful synergies and their role in shaping a smarter, greener future.

The book examines foundational technologies and practical applications across solar, wind, and other renewable energy systems, highlighting how AI enhances system optimization, infrastructure management, and energy performance. Chapters discuss solar photovoltaic systems, wind energy conversion technologies, power converter innovations, and environmental considerations related to renewable energy deployment.

Beyond technical advancements, the volume also explores the broader role of renewable energy and AI in sustainable agriculture, rural development, smart homes, green transportation, and energy security in developing nations. By connecting innovation with real-world impact, the book presents a comprehensive view of how intelligent energy solutions can drive long-term sustainable development.

Zielgruppe

Academic and Postgraduate

Autoren/Hrsg.

Singla, Ruchira

Indapurkar, Kavita

Singh, Rashmi

Chaudhary, Aryan

Fachgebiete

• Naturwissenschaften Physik Mechanik Energie
• Technische Wissenschaften Verfahrenstechnik | Chemieingenieurwesen | Biotechnologie Biotechnologie

Inhaltsverzeichnis

Preface Part I: Foundational Technologies and Applications 1. Synergy of Renewable Energy and AI Fundamentals: A Sustainable Future 2. Green Tech Fusion with AI 2.0: A Path to Sustainable Energy Management 3. Maximum Power Point Tracking in Solar PV System: A Relative Learning of Artificial Neural Network Algorithms 4. Internal Parameters Estimation of Lithium-Ion Batteries 5. AI-Powered Green Energy: Transforming the Renewable Landscape 6. A Data-Driven Approach Leveraging Deep Learning Models to Optimize Green Infrastructure and Resource Management 7. Artificial Intelligence-Based Decision Support Systems for Renewable Energy Investment and Deployment for Transition to Sustainable Energy 8. Optimizing Solar Energy Harvest: Performance Evaluation of MPPT Strategies in MATLAB/Simulink Part II: Renewable Energy Technologies 9. Challenges and Solutions of Solar PV System Integration with Electricity Grid: A Literature Survey 10. Green Technology: Impact of Solar Panels on the Environment 11. Power Converter Topologies in Wind Energy Conversion Systems 12. Transforming Wind Power: Emerging Converter Technologies for PMSG-Driven Wind Turbines 13. Energy Storage Technologies for Green Technologies 14. DC-DC Converters and Their Role in Shaping a Sustainable Future Part III: Applications for Sustainable Development 15. Separation-Factor Based Design of Type Compensators for SI-SIDO Buck Converter 16. Harnessing Bio-Energy Solutions for Rural Development 17. Rural Revitalization through Bioenergy: A Pathway to Sustainable Prosperity 18. From Biomass to Empowerment: Unleashing Potential of Bioenergy Toward Rural Sustainability 19. Integrating Green Technologies for Sustainable Urbanization 20. Energy Storage Technologies for Green Transportation 21. Empowering Sustainable Agriculture through Off-Grid Solar Water Pumping Systems for Small-Scale Farming Index

Über Autor(innen)

Ruchira Singla, PhD, is Assistant Professor of Electrical and Electronics Engineering at Amity University, Noida, India. Her expertise focuses on renewable energy systems, power electronics, power converters, and solar photovoltaic technologies. Her doctoral research centered on solar microinverters for low-power applications, and she has published widely in Scopus-indexed journals and international conferences.

Kavita Indapurkar, PhD, is Professor and Head of the School of Economics at Amity University, Noida, India. With more than 25 years of academic experience, she focuses her work on sustainable development, financial literacy, consumer behavior, and public policy. She has published extensively in leading journals and has edited several books on economics and sustainability studies.

Rashmi Singh, PhD, is Professor in the Department of Mathematics at Amity University, Noida, India. Her research includes fuzzy set theory, topology, AI-ML mathematics, and soft computing. With over two decades of teaching and research experience, she has published extensively and serves as editor and reviewer for numerous international journals.

Aryan Chaudhary is Chief Scientific Advisor at BioTech Sphere Research, India. His work focuses on AI, IoT, blockchain, and digital health technologies for healthcare innovation and sustainability. A prolific researcher and editor, he has published internationally, serves on multiple editorial boards, and contributes actively to IEEE, ACM, and other global scientific organizations.