Artificial Intelligence for Renewable Energy Systems addresses the energy industries remarkable move from traditional power generation to a cost-effective renewable energy system, and most importantly, the paradigm shift from a market-based cost of the commodity to market-based technological advancements. Featuring recent developments and state-of-the-art applications of artificial intelligence in renewable energy systems design, the book emphasizes how AI supports effective prediction for energy generation, electric grid related line loss prediction, load forecasting, and for predicting equipment failure prevention.
Looking at approaches in system modeling and performance prediction of renewable energy systems, this volume covers power generation systems, building service systems and combustion processes, exploring advances in machine learning, artificial neural networks, fuzzy logic, genetic algorithms and hybrid mechanisms.
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Table of Contents
1. Current State of energy systems2. 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
Authors
Ashutosh Kumar Dubey Department of Computer Science and Engineering, Institute of Engineering and Technology, Chitkara University, India. Ashutosh Kumar Dubey is an Associate Professor in the Department of Computer Science and Engineering at the Institute of Engineering and Technology of Chitkara University, India. He has more than 14 years of teaching experience. His research areas are Data Mining, Health Informatics, Optimization, Machine Learning, Cloud Computing, Artificial Intelligence and Object-Oriented Programming. Sushil Narang Dean and Associate Professor, Department of Computer Science and Engineering at Chitkara University, Rajpura, Punjab, India. 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. Abhishek Kumar Post-doctorate Fellow, Ingenium Research Group, Universidad De Castilla-La Mancha, Spain. 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. Vicente Garc�a-D�az Associate Professor, Department of Computer Science, University of Oviedo, Spain. Dr. Vicente Garc�a-D�az 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. Arun Lal Srivastav Associate Professor, Chitkara University, Himachal Pradesh, India.Dr. Arun Lal Srivastav is working as an Associate Professor at Chitkara University, Himachal Pradesh 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 91 research publication (as per SCOPUS) in various peer-reviewed, national and international journals, conferences, and books. He has also filed 25 patents on multidisciplinary topics. He is also working on four government-sponsored projects (worth ~16 million INR) on phytoremediation, adsorption, capacity building, organic farming, leachate treatment, agro-waste management, and so on.
