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    Artificial Intelligence and Machine Learning Applications for Sustainable Development

Artificial Intelligence and Machine Learning Applications for Sustainable Development

A. J. Singh
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      The book highlights how technologies including artificial intelligence and machine learning are transforming renewable energy technologies and enabling the development of new solutions. It further discusses how smart technologies are employed to optimize energy production and storage, enhance energy efficiency, and improve the overall sustainability of energy systems.This book:Discusses artificial intelligence-based techniques, namely, neural networks, fuzzy expert systems, optimization techniques, and operational researchShowcases the importance of artificial intelligence and machine learning in the energy market, demand analysis, and forecasting of renewable energy applicationsIllustrates strategies for sustainable development using artificial intelligence and machine learning applicationsPresents applications of artificial intelligence in the domain of electronics transformation and development, smart cities, and renewable energy utilizationHighlights the role of artificial intelligence in solving problems such as image and signal processing, smart weather monitoring, smart farming, and distributed energy sourcesIt is primarily written for senior undergraduates, graduate students, and academic researchers in diverse fields, including electrical, electronics and communications, energy, and environmental engineering.

      Format: Paperback / softback CONTRIBUTORS: A. J. Singh EAN: 9781032946887 COUNTRY: United Kingdom PAGES: 352 WEIGHT: 453 g HEIGHT: 234 mm
      PUBLISHED BY: Taylor & Francis Ltd DATE PUBLISHED: 2026-07-20 CITY: GENRE: COMPUTERS / Data Science / Machine Learning, TECHNOLOGY & ENGINEERING / Power Resources / Alternative & Renewable WIDTH: 156 mm SPINE:

      Book Themes:

      Electrical engineering, Alternative and renewable energy sources and technology, Automatic control engineering, Information technology: general topics, Algorithms and data structures, Image processing

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      A J Singh is a Professor in Department of Computer Science in HPU. He has been in this department since 1992. He obtained Bachelor of Engineering in Computer Technology from NIT Bhopal, Master of Science in Distribute Information Systems from University of East London, UK under British Government ODASS Scholarship and Ph.D. degree Himachal Pradesh University, Shimla. He worked on deputation to Royal Government of Bhutan under Colombo Plan for three years. He has published more than 50 research papers, supervised six Ph.D. dissertations, 9 students are doing PhD under his supervision.Nikita Gupta received a B. Tech degree in Electrical and Electronics Engineering from National Institute of Technology, Hamirpur, India in 2011 and M. Tech degree in Power System from Delhi Technological University, Delhi, India in 2014. She has completed her PhD degree in the Department of Electrical Engineering from Delhi Technological University, Delhi, India in December 2018. Presently, she is working as Assistant Professor at the University Institute of Technology, Himachal Pradesh University, Shimla (H.P), India. Her research interests include power system engineering, renewable energy systems, power quality, soft computing techniques, and microgrids. Dr. Nikita has published numerous research papers in reputed international including IEEE and IET, 2 book chapters, and 22 research papers in international and national conferences. Additionally, she has also published 3 edited books in reputed publications and two authored books for B. Tech machines courses. She has received funding from HIMCOSTE for a project on wind turbines. She is also an active reviewer of journals including IEEE Transactions on Power Electronics, IET Power Electronics, Journal of Engineering, IEEE Access, Wiley Journal of Energy, and many more. Dr. Nikita received the ‘Commendable Research Award’ for excellence in research in the year 2018 at Delhi Technological University, Delhi, India. She is the recipient of the outstanding paper award from the IEEE-GPECOM, in 2020. She is the recipient of the best paper award from the IEEE-INDICON, in 2015. She is a member of various technical communities including member IEEE, member IAENG, member ISRD and Lifetime Member TERA.Sanjay Sharma received a B. Tech degree in Electrical Engineering from Himachal Pradesh University, Shimla, India in 2007 and M. Tech degree in Power System from National Institute of Technology, Hamirpur, India in 2010. He has completed her Ph.D. degree in Department of Electrical Engineering from Punjab Engineering College Deemed to be University Chandigarh, India in December 2019. Presently, he is working as Assistant Professor in University Institute of Technology, Himachal Pradesh University, Shimla (H.P), India. He worked on a Project “Development and validation of technology for production of high energy density from rice straw and Agri- biomasses (Funding agency PSA, GOI and Sweden). He published many research papers in re

      The book highlights how technologies including artificial intelligence and machine learning are transforming renewable energy technologies and enabling the development of new solutions. It further discusses how smart technologies are employed to optimize energy production and storage, enhance energy efficiency, and improve the overall sustainability of energy systems.This book:Discusses artificial intelligence-based techniques, namely, neural networks, fuzzy expert systems, optimization techniques, and operational researchShowcases the importance of artificial intelligence and machine learning in the energy market, demand analysis, and forecasting of renewable energy applicationsIllustrates strategies for sustainable development using artificial intelligence and machine learning applicationsPresents applications of artificial intelligence in the domain of electronics transformation and development, smart cities, and renewable energy utilizationHighlights the role of artificial intelligence in solving problems such as image and signal processing, smart weather monitoring, smart farming, and distributed energy sourcesIt is primarily written for senior undergraduates, graduate students, and academic researchers in diverse fields, including electrical, electronics and communications, energy, and environmental engineering.

      Format: Paperback / softback CONTRIBUTORS: A. J. Singh EAN: 9781032946887 COUNTRY: United Kingdom PAGES: 352 WEIGHT: 453 g HEIGHT: 234 mm
      PUBLISHED BY: Taylor & Francis Ltd DATE PUBLISHED: 2026-07-20 CITY: GENRE: COMPUTERS / Data Science / Machine Learning, TECHNOLOGY & ENGINEERING / Power Resources / Alternative & Renewable WIDTH: 156 mm SPINE:

      Book Themes:

      Electrical engineering, Alternative and renewable energy sources and technology, Automatic control engineering, Information technology: general topics, Algorithms and data structures, Image processing

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      A J Singh is a Professor in Department of Computer Science in HPU. He has been in this department since 1992. He obtained Bachelor of Engineering in Computer Technology from NIT Bhopal, Master of Science in Distribute Information Systems from University of East London, UK under British Government ODASS Scholarship and Ph.D. degree Himachal Pradesh University, Shimla. He worked on deputation to Royal Government of Bhutan under Colombo Plan for three years. He has published more than 50 research papers, supervised six Ph.D. dissertations, 9 students are doing PhD under his supervision.Nikita Gupta received a B. Tech degree in Electrical and Electronics Engineering from National Institute of Technology, Hamirpur, India in 2011 and M. Tech degree in Power System from Delhi Technological University, Delhi, India in 2014. She has completed her PhD degree in the Department of Electrical Engineering from Delhi Technological University, Delhi, India in December 2018. Presently, she is working as Assistant Professor at the University Institute of Technology, Himachal Pradesh University, Shimla (H.P), India. Her research interests include power system engineering, renewable energy systems, power quality, soft computing techniques, and microgrids. Dr. Nikita has published numerous research papers in reputed international including IEEE and IET, 2 book chapters, and 22 research papers in international and national conferences. Additionally, she has also published 3 edited books in reputed publications and two authored books for B. Tech machines courses. She has received funding from HIMCOSTE for a project on wind turbines. She is also an active reviewer of journals including IEEE Transactions on Power Electronics, IET Power Electronics, Journal of Engineering, IEEE Access, Wiley Journal of Energy, and many more. Dr. Nikita received the ‘Commendable Research Award’ for excellence in research in the year 2018 at Delhi Technological University, Delhi, India. She is the recipient of the outstanding paper award from the IEEE-GPECOM, in 2020. She is the recipient of the best paper award from the IEEE-INDICON, in 2015. She is a member of various technical communities including member IEEE, member IAENG, member ISRD and Lifetime Member TERA.Sanjay Sharma received a B. Tech degree in Electrical Engineering from Himachal Pradesh University, Shimla, India in 2007 and M. Tech degree in Power System from National Institute of Technology, Hamirpur, India in 2010. He has completed her Ph.D. degree in Department of Electrical Engineering from Punjab Engineering College Deemed to be University Chandigarh, India in December 2019. Presently, he is working as Assistant Professor in University Institute of Technology, Himachal Pradesh University, Shimla (H.P), India. He worked on a Project “Development and validation of technology for production of high energy density from rice straw and Agri- biomasses (Funding agency PSA, GOI and Sweden). He published many research papers in re

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