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 resources as solar panels and wind turbines. They also enable precise forecasting of energy production. Additionally, AI-powered systems can facilitate real-time monitoring and predictive maintenance of renewable energy infrastructure to reduce downtime and operational costs. With AI, the renewable energy industry can overcome challenges, maximize output, and contribute significantly to global efforts in combating climate change.
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 as:
- Predictive analytics for wind turbine maintenance
- Intelligent solar grid integration
- Vehicle-to-grid (V2G) technology for electric mobility
- Intelligent hydrogen fuel cell control.
It also features global trend research, methods for data-driven forecasting, and policymaking based on advanced data analytics and visualization.
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.
Table of Contents:
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
About the Author :
Dr. Srikanta Kumar Mohapatra has more than 19 years of teaching and industrial experience and has published more than 50 research articles.
Dr. Abhineet Anand has more than 24 years of academic and administrative experience. He has published more than 45 Scopus-indexed research articles.
Dr. Monit Kapoor is currently working in a professor and dean of the computer science Department of CSE, Chitkara University, India.
Dr. Anita Sardana earned her doctorate from J.C. Bose University of Science and Technology, India, in 2016 and has since gained experience in teaching and working in industry.
Abhishek Kumar is doctoral student in computer science at the University of Madras, India.
Jayashree Mohanty is an assistant professor at Chandigarh University, Punjab, India.
