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Artificial Intelligence for Renewable Energy systems
- 1st Edition - August 1, 2022
- Editors: Ashutosh Kumar Dubey, Sushil Narang, Abhishek Kumar, Vicente García-Díaz, Arun Lal Srivastav
- Language: English
- Paperback ISBN:9 7 8 - 0 - 3 2 3 - 9 0 3 9 6 - 7
- eBook ISBN:9 7 8 - 0 - 3 2 3 - 9 0 6 6 1 - 6
Artificial Intelligence for Renewable Energy Systems addresses the energy industries remarkable move from traditional power generation to a cost-effective renewable energy sy… Read more
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Request a sales quoteArtificial 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.
- Includes real-time applications that illustrates artificial intelligence and machine learning for various renewable systems
- Features a templated approach that can be used to explore results, with scientific implications followed by detailed case studies
- Covers computational capabilities and varieties for renewable system design
Both renewable energy researchers and practicing engineers, working in the fields of AI and Renewable Energy. Mostly research with up-and-coming practical applications included
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
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
- No. of pages: 406
- Language: English
- Edition: 1
- Published: August 1, 2022
- Imprint: Woodhead Publishing
- Paperback ISBN: 9780323903967
- eBook ISBN: 9780323906616
AD
Ashutosh Kumar Dubey
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.
Affiliations and expertise
Department of Computer Science and Engineering, Institute of Engineering and Technology, Chitkara University, IndiaSN
Sushil Narang
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.
Affiliations and expertise
Dean and Associate Professor, Department of Computer Science and Engineering at Chitkara University, Rajpura, Punjab, IndiaAK
Abhishek Kumar
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.
Affiliations and expertise
Post-doctorate Fellow, Ingenium Research Group, Universidad De Castilla-La Mancha, SpainVG
Vicente García-Díaz
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.
Affiliations and expertise
Associate Professor, Department of Computer Science, University of Oviedo, SpainAS
Arun Lal Srivastav
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.
Affiliations and expertise
Assistant Professor, Chitkara University, Himachal Pradesh, IndiaRead Artificial Intelligence for Renewable Energy systems on ScienceDirect