Handbook of Artificial Intelligence Applications in Energy Systems

Mir Sayed Shah Danish is currently an Assistant Professor at the Institute of Materials and Systems for Sustainability of Nagoya University, Japan. Dr Danish has a decade of teaching experience, has published over 100 peer-reviewed research articles, and edited/authored several books in Power Electronics and Energy Systems. With an industry background that spans technology and power infrastructure, Dr Danish has been responsible for public-sector power infrastructure projects with budgets totalling over 105-million USD, and was Lead Engineer at Grand Technology Resources (Afghanistan) from 2012-2017.

• 1. Introduction to Artificial Intelligence in Energy Systems2. Applications in Energy Systems3. Optimization Algorithms and Strategies in AI for Energy Systems4. Machine Learning Techniques and Frameworks for Energy Systems5. Energy Systems Modeling, Optimization, and Deployment6. Deep Learning Deployment in Energy Systems7. Technical Infrastructure Hardware and Software8. Applied Numerical Example of AI in Energy Systems9. Case Studies: AI Applications in Energy Systems10. Conducting Practical Research in AI and Energy Systems