Artificial Intelligence for Renewable Energy Systems
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CRC Press
ISBN: 9781032901039
The book highlights how AI is applied to the development and management of renewable energy systems. It looks at how AI supports accurate prediction for energy generation and grid-related line loss, equipment failure, as well as load forecasting. The book also covers recent developments of using ...
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The book highlights how AI is applied to the development and management of renewable energy systems. It looks at how AI supports accurate prediction for energy generation and grid-related line loss, equipment failure, as well as load forecasting. The book also covers recent developments of using AI to design renewable energy systems.
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.
Obsah
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
- Výrobce
- CRC Press
- Jazyk
- eng
- Autor
- Mohapatra, Srikanta Kumar|Anand, Abhineet|Kapoor, Monit|Sardana, Anita|Kumar, Abhishek|Mohanty, Jayashree
- Obsah
- Hardback
- Rok vydání
- 2026
- Počet stran
- 238
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