Artificial Intelligence for Renewable Energy Systems
eBook - ePub

Artificial Intelligence for Renewable Energy Systems

  1. 238 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

About this book

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.

Information

Year
2026
Print ISBN
9781032901039
Edition
1
eBook ISBN
9781040681787

Table of contents

  1. Cover Page
  2. Half-Title Page
  3. Series Page
  4. Title Page
  5. Copyright Page
  6. Contents
  7. List of Figures
  8. List of Tables
  9. Preface
  10. Contributors
  11. 1 Potential of Artificial Intelligence in Energy Management
  12. 2 Energy Management and Artificial Intelligence
  13. 3 Artificial Intelligence Applications in Wind-Energy Systems
  14. 4 AI-Based Solar Power Is the Next Open Door to Manage Energy Challenges
  15. 5 A Precise Review of EV Battery Charging Technology
  16. 6 Revolutionizing Thermal Battery Technology: A Key Strategy to Reserve Renewable Energy with AI
  17. 7 Innovative AIML Approaches to Optimize Fuel Cell Efficiency in Electric Vehicles
  18. 8 AI and Forecasting for Renewable Energy Generation
  19. 9 Renewable Energy Dynamics: Growth Patterns and Predictions from 1965 to 2040
  20. 10 Advanced-Data Analysis and Time Series Forecasting for Renewable Energy Trends
  21. 11 The Impact of Artificial Intelligence on Green Hydrogen and Renewable Energy Efficiency
  22. Index

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Yes, you can access Artificial Intelligence for Renewable Energy Systems by Srikanta Kumar Mohapatra,Abhineet Anand,Monit Kapoor,Anita Sardana,Abhishek Kumar,Jayashree Mohanty in PDF and/or ePUB format, as well as other popular books in Computer Science & Artificial Intelligence (AI) & Semantics. We have over 1.5 million books available in our catalogue for you to explore.