Artificial Intelligence for Renewable Energy Systems

1. Auflage 2026
ISBN: 978-1-032-90103-9
Verlag: CRC Press

Buch, Englisch, 262 Seiten, Format (B × H): 156 mm x 234 mm, Gewicht: 544 g

Reihe: Advances in Computational Collective Intelligence

The application of artificial intelligence (AI) to the management and development of renewable energy sources has revolutionized the energy sector by enhancing efficiency, reliability, and scalability. With the capability to analyze weather patterns, solar radiation, and wind speeds, AI-driven technologies help ensure optimal utilization of such re-sources as solar panels and wind turbines. Artificial Intelligence for Renewable Energy Systems focuses on using AI technology to advance green energy and its management. Starting with an overview of applying AI to renewable energy management, the book follows with such real-world examples:

- Predictive analytics for wind turbine maintenance

- Intelligent solar grid integration

- Vehicle-to-grid (V2G) technology for electric mobility

Taking a multidisciplinary approach, the book is a guide for academics, energy practitioners, engineers, and policymakers who are leveraging the constructive collaboration between AI and renewable energy technologies.

Zielgruppe

Postgraduate

Autoren/Hrsg.

Mohapatra, Srikanta Kumar

Anand, Abhineet

Kapoor, Monit

Sardana, Anita

Kumar, Abhishek

Mohanty, Jayashree

Fachgebiete

• Technische Wissenschaften Energietechnik | Elektrotechnik Alternative und erneuerbare Energien
• Technische Wissenschaften Energietechnik | Elektrotechnik Energietechnik & Elektrotechnik
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz

Inhaltsverzeichnis

1. Potential of Artificial Intelligence in Energy Management 2. Energy Management and Artificial Intelligence 3. Artificial Intelligence Applications in Wind Energy Systems 4. AI-Based Solar Power: The Next Opportunity to Manage Energy Challenges 5. A Precise Review of EV Battery Charging Technology 6. Revolutionizing Thermal Battery Technology: A Key Strategy to Preserve Renewable Energy with AI 7. Innovative AI/ML Approaches to Optimize Fuel Cell Efficiency in Electric Vehicles 8. AI and Forecasting for Renewable Energy Generation 9. Renewable Energy Dynamics: Growth Patterns and Predictions from 1965 to 2040 10. Advanced Data Analysis and Time Series Forecasting for Renewable Energy Trends 11. The Impact of Artificial Intelligence on Green Hydrogen and Renewable Energy Efficiency

Über Autor(innen)

Dr. Srikanta Kumar Mohapatra is a Professor at Chitkara University, Patiala, India. He has more than 19 years of teaching and industrial experience and has published more than 80 research articles.

Dr. Abhineet Anand serves as Dean of the School of Computer Science and Engineering at Bahra University, Solan, India. He has more than 26 years of academic and administrative experience and has published more than 86 Scopus-indexed research articles.

Dr. Monit Kapoor serves as Pro Vice Chancellor and Director, Amity School of Engineering at Amity University Bengaluru, India. He has more than 30 years of academic and administrative experience and has published more than 50 Scopus-indexed research articles.

Dr. Anita Sardana earned her doctorate from J.C. Bose University of Science and Technology and is currently an Assistant Professor at Jaypee’s University of Information Technology, Solan, India.

Abhishek Kumar is a Professor and Assistant Director at Chandigarh University, Mohali, India.

Jayashree Mohanty is an Assistant Professor at Chandigarh University, Mohali, India.