Artificial Intelligence for Renewable Energy systems

Artificial Intelligence for Renewable Energy systems

1st Edition - August 1, 2022

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  • Editors: Ashutosh Dubey, Sushil Narang, Arun Srivastav, Abhishek Kumar, Vicente García-Díaz
  • Paperback ISBN: 9780323903967

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Description

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.

Key Features

  • 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

Readership

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

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

Product details

  • No. of pages: 500
  • Language: English
  • Copyright: © Woodhead Publishing 2022
  • Published: August 1, 2022
  • Imprint: Woodhead Publishing
  • Paperback ISBN: 9780323903967

About the Editors

Ashutosh Dubey

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.

Affiliations and Expertise

Department of Computer Science and Engineering, Chitkara University Institute of Engineering and Technology, Chitkara University, Punjab, India

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, India

Arun Srivastav

Dr. Arun Lal Srivastav is an Assistant Professor at Chitkara University, Himachal Pradesh (India). He has obtained his Ph.D. from the Indian Institute of Technology (BHU), Varanasi, India on water treatment. Also, he has done post-doctoral research at National Chung Hsing University, Taiwan. He is currently involved in the teaching of Environmental Science, Environmental Engineering, and Disaster Management to the engineering students. His research interests include water treatment, climate change, river ecosystem, phytoremediation and waste management. He has published 51 research articles in journals, books and conferences. Currently, he is editing 7 books with the Elsevier and Wiley on river ecosystem, renewable energy, urban water crisis & management, climate change, green chemistry and e-waste management.

Affiliations and Expertise

Assistant Professor, Chitkara University School of Engineering and Technology, Chitkara University, Solan, Himachal Pradesh, India

Abhishek Kumar

Dr. Abhishek Kumar is doctorate in computer science from University of Madras and research is going on face recognition using IOT concept and done M.Tech in Computer Science & Engineering from Government engineering college Ajmer, Rajasthan Technical University, Kota India. He has total Academic teaching experience of more than 8 years with more than 50 publications in reputed, peer reviewed National and International Journals, books & Conferences. His research area includes Artificial intelligence, Image processing, Computer Vision, Data Mining and Machine Learning. He has been in International Conference Committee of many International conferences. He has been the reviewer/editor of various peer-reviewed journals.

Affiliations and Expertise

M.Tech in Computer Science and Engineering from Government engineering college Ajmer, Rajasthan Technical University, Kota, India

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, Spain

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  • Dheeraj k. Sun Oct 17 2021

    Knowledge comes

    Real concept based