Artificial Intelligence for Renewable Energy Systems

ISBN-13: 9780323903967 / Angielski / Miękka / 2022

Ashutosh Kumar Dubey; Sushil Narang; Arun Lal Srivastav

Spis treści

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

O autorze

Dr. Ashutosh Kumar Dubey received his PhD degree in Computer Science and Engineering from JK Lakshmipat University, Jaipur, Rajasthan, India. He is currently in the department of Computer Science and Engineering, Chitkara University Institute of Engineering and Technology, Chitkara University, Punjab, India. He is also the Senior Member of IEEE and ACM. He has more than 14 years of teaching experience. He has authored a book name Database Management Concepts. He has been associated with many international and national conferences as the Technical Program Committee member. He is also associated as the Editor/Editorial Board Member/ Reviewer of many peer-reviewed journals. His research areas are Data Mining, Health Informatics, Optimization, Machine Learning, Cloud Computing, Artificial Intelligence and Object-Oriented Programming. 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 Arun Lal Srivastav is working as an Assistant Professor at Chitkara University, in India. He is currently involved in the teaching of Environmental Science, Environmental Engineering and Disaster Management to the undergraduate engineering students.
His research interests include water treatment, river ecosystem, climate change, soil health maintenance, phytoremediation, and waste management. He has published around 50 research papers in various peer-reviewed, national and international journals, conferences, and books. He has also filed 12 patents. Dr. Abhishek Kumar is a 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.