Artificial Intelligence for Reliability and Maintainability of Energy Systems prepares students, researchers, and industry engineers to design and maintain reliable, sustainable energy systems using state-of-the-art AI techniques. The book provides a clear foundation in the fundamentals of power systems statistics and reliability, including resilience principles and strategies, practical applications, and real-world solutions. It covers a wide range of renewable sources, including biomass and biomethane, solar, and hybrid-renewable systems. The AI tools presented cover forecasting, the Internet-of-Things, machine learning, digital twin technology, and big data analysis, with a variety of applications to avoid power outages, minimize disruption, and accurately assess system resilience.
Including case studies and details methodology for practical techniques, this book helps energy systems engineers and researchers to provide a stable and consistent power supply in the face of climate change challenges and the energy transition.
1. Intelligent energy system with climate protective visions
2. Computer vision, energy and society
3. Computer vision for human factors in energy related activities
4. Computer vision for life-cycle assessment of energy & decarbonization roadmaps
5. Computer vision safety, reliability and ethics for energy
6. Automation of science discovery related to energy materials and chemistry
7. Data-driven design of energy materials and systems
8. Data science for energy applications
9. Digital twin or big data analytics of complex energy processes/systems
10. Hybrid data-driven and physical modelling for energy related problems
11. Hardware for data collections in energy systems
12. Internet-of-things and cyber-physical energy systems
13. Intelligent control of energy systems
14. Virtual reality applied to energy and environment
15. Current State of energy systems
16. Artificial Intelligence and Machine Learning implications to energy systems
17. Weather forecasting using Artificial Intelligence
18. Intelligent Energy storage
19. Modelling and Simulation of Power Electronic Circuits
20. Control methods in Renewable energy systems
21. Role of Artificial Intelligence in Power Quality Management and Stability Analysis
22. Integration of microgrids
23. Rooftop photovoltaic systems
24. Biomass and biogas
25. Renewable energy systems and technologies education
26. Evolutionary Intelligence in Renewable energy
27. Smart Energetic Management
28. Energy efficient lighting systems
29. Scope of Artificial Intelligence based solar energy system
30. Role of Artificial Intelligence in environmental sustainability
31. Integration of Artificial Intelligence with biomethanation
32. Hybrid renewable energy system and Artificial Intelligence
33. Renewable energy and sustainable developments
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