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Artificial Intelligence for Renewable Energy systems
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Table of Contents

1. Current State of energy systems
2. Artificial Intelligence and Machine Learning implications to energy systems
3. Weather forecasting using Artificial Intelligence
4. Intelligent Energy storage
5. Modelling and Simulation of Power Electronic Circuits
6. Control methods in Renewable energy systems
7. Role of Artificial Intelligence in Power Quality Management and Stability Analysis 
8. Integration of microgrids
9. Rooftop photovoltaic systems 
10. Biomass and biogas 
11. Renewable energy systems and technologies education
12. Evolutionary Intelligence in Renewable energy
13. Smart Energetic Management 
14. RnE: Renewable Energetic Systems
15. Energy efficient lighting systems
16. Scope of Artificial Intelligence based solar energy system
17. Role of Artificial Intelligence in environmental sustainability
18. Integration of Artificial Intelligence with biomethanation
19. Hybrid renewable energy system and Artificial Intelligence
20. Renewable energy and sustainable developments

About the Author

Ashutosh Kumar Dubey is an Associate Professor in the Department of Computer Science and Engineering at Chitkara University, Himachal Pradesh, India. He is also a Postdoctoral Fellow of the Ingenium Research Group Lab, Universidad
de Castilla-La Mancha, Ciudad Real, Spain. Dr. Sushil Kumar Narang is Dean and an Associate Professor in the Department of Computer Science & Engineering at Chitkara University, Rajpura, Punjab since 2019. From 2006-2019, He was head of IT department at SAS Institute of IT & Research, Mohali, Punjab. From 1996-2006 he was Assistant Professor at Department of Computer Science & Applications, MLN College, Yamuna agar, Haryana. He Completed his Ph.D. at Panjab University, Chandigarh. His Research on “Feature Extraction and Neural Network Classifiers for Optical Character Recognition for Good quality handwritten Gurmukhi and Devnagari Characters” focused on various image processing, machine as well as deep learning algorithms. His research interests lie in the area of programming languages, ranging from theory to design to implementation, Image Processing, Data Analytics and Machine Learning. He has collaborated actively with researchers in several other disciplines of computer science, particularly Machine Learning on real world use cases. Dr. Abhishek Kumar is a professor and post-doctorate fellow in computer science at Ingenium Research Group, based at Universidad De Castilla-La Mancha in Spain. He has been teaching in academia for more than 8 years, and published more than 50 articles in reputed, peer reviewed national and international journals, books, and conferences. His research area includes artificial intelligence, image processing, computer vision, data mining, and machine learning. Dr. Vicente García-Díaz is a Software Engineer and has a PhD in Computer Science. He is an Associate Professor in the Department of Computer Science at the University of Oviedo. He is also part of the editorial and advisory board of several journals and has been editor of several special issues in books and journals. He has supervised 80+ academic projects and published 80+ research papers in journals, conferences and books. His research interests include decision support systems, Domain-Specific languages and eLearning. Dr. Arun Lal Srivastav is an Associate Professor in the Department of Applied Sciences at Chitkara University, Himachal Pradesh, India.

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