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    Big Data Analytics Framework for Smart Grids

Big Data Analytics Framework for Smart Grids

Rajkumar Viral
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      The text comprehensively discusses smart grid operations and the use of big data analytics in overcoming the existing challenges. It covers smart power generation, transmission, and distribution, explains energy management systems, artificial intelligence, and machine learning–based computing.Presents a detailed state-of-the-art analysis of big data analytics and its uses in power gridsDescribes how the big data analytics framework has been used to display energy in two scenarios including a single house and a smart grid with thousands of smart metersExplores the role of the internet of things, artificial intelligence, and machine learning in smart gridsDiscusses edge analytics for integration of generation technologies, and decision-making approaches in detailExamines research limitations and presents recommendations for further research to incorporate big data analytics into power system design and operational frameworksThe text presents a comprehensive study and assessment of the state-of-the-art research and development related to the unique needs of electrical utility grids, including operational technology, storage, processing, and communication systems. It further discusses important topics such as complex adaptive power system, self-healing power system, smart transmission, and distribution networks, and smart metering infrastructure. It will serve as an ideal reference text for senior undergraduate, graduate students, and academic researchers in the areas such as electrical engineering, electronics and communications engineering, computer engineering, and information technology.

      Format: Hardback CONTRIBUTORS: Rajkumar Viral EAN: 9781032392905 COUNTRY: United Kingdom PAGES: 232 WEIGHT: 503 g HEIGHT: 234 mm
      PUBLISHED BY: Taylor & Francis Ltd DATE PUBLISHED: 2023-12-22 CITY: GENRE: COMPUTERS / Artificial Intelligence / General, COMPUTERS / Database Administration & Management, COMPUTERS / Computer Engineering, COMPUTERS / Data Science / Data Visualization, TECHNOLOGY & ENGINEERING / Electrical, TECHNOLOGY & ENGINEERING / Electronics / General, TECHNOLOGY & ENGINEERING / Power Resources / General WIDTH: 156 mm SPINE:

      Book Themes:

      Alternative and renewable energy sources and technology, Energy, power generation, distribution and storage, Electronics engineering, WAP (wireless) technology, Environmental science, engineering and technology, Information technology: general topics, Data capture and analysis, Artificial intelligence

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      R. K. Viral is presently working as an Associate Professor in Department of Electrical & Electronics Engineering, Amity School of Engg. & Tech., Amity University, Noida, UP, INDIA. Additionally, he has more than 16-year teaching experience at UG and PG level in various engineering Institutes/Universities. He has awarded Doctoral degree from Indian Institute of Technology Roorkee, Roorkee in area of Distributed Generation in 2016. Received his Post graduate degree in Energy Systems also from IIT Roorkee in 2010 and graduated in Electrical Engineering (with honors) from MJP Rohilkhand University, Bareilly in 2003. His research interests include Distribution system planning and optimization, Renewable energy system, soft computing techniques in power systems, Small hydro power design, Development and Applications, Smart grid, Big data analytics and cyber security in power system. He is guiding five Ph.D students and supervised many M.Tech dissertations.He has filed more than 16 patents in various multi-disciplinary areas. He has also published more than 150 research publications in various International/national journals/conferences/Book chapters of repute and peer reviewed. He has one Edited book of CRC press, Taylor & Francis, and two is in process of Elsevier/CRC. He has served as TPC Member of several international conferences held worldwide. He is also an active member of professional societies i.e. IEEE, PES, ISTE, IEI, IDES, ACEEE, and contributing editorial board member (IJORCS, IJESCE, IJBST etc.) and reviewer of various international journals.Divya Asija is an Assistant Professor in the Electrical and Electronics Engineering Department of Amity School of Engineering and Technology at the Amity University Noida, India, where she has been a faculty member since 2012. She has more than 16 years teaching experience at various prestigious institutions/universities. She completed his PhD at Amity University, Noida and her postgraduate studies at YMCA, Faridabad. Her research interests include power systems, ranging from congestion management to renewable energy resources, distributed generation, smart grids and electric vehicles. She has filed five patents and applied various funded projects of different government and private agencies. She is also the author and coauthors of over 75 research papers and book chapters in several international journals of repute. She is also an active reviewer of international journals (Energy (Elsevier), the International Journal of System Assurance Engineering and Management (Springer), the International Journal of Emerging Electric Power Systems (Degruyter), the International Journal of Electrical and Computer Engineering (Institute of Advanced Engineering and Science), the Journal of Electrical Engineering & Technology (Springer) and the International Journal of Renewable Energy Research). In the interim, she was also awarded for outstanding contribution in reviewing by Energy, Elsevier for the academic years

      The text comprehensively discusses smart grid operations and the use of big data analytics in overcoming the existing challenges. It covers smart power generation, transmission, and distribution, explains energy management systems, artificial intelligence, and machine learning–based computing.Presents a detailed state-of-the-art analysis of big data analytics and its uses in power gridsDescribes how the big data analytics framework has been used to display energy in two scenarios including a single house and a smart grid with thousands of smart metersExplores the role of the internet of things, artificial intelligence, and machine learning in smart gridsDiscusses edge analytics for integration of generation technologies, and decision-making approaches in detailExamines research limitations and presents recommendations for further research to incorporate big data analytics into power system design and operational frameworksThe text presents a comprehensive study and assessment of the state-of-the-art research and development related to the unique needs of electrical utility grids, including operational technology, storage, processing, and communication systems. It further discusses important topics such as complex adaptive power system, self-healing power system, smart transmission, and distribution networks, and smart metering infrastructure. It will serve as an ideal reference text for senior undergraduate, graduate students, and academic researchers in the areas such as electrical engineering, electronics and communications engineering, computer engineering, and information technology.

      Format: Hardback CONTRIBUTORS: Rajkumar Viral EAN: 9781032392905 COUNTRY: United Kingdom PAGES: 232 WEIGHT: 503 g HEIGHT: 234 mm
      PUBLISHED BY: Taylor & Francis Ltd DATE PUBLISHED: 2023-12-22 CITY: GENRE: COMPUTERS / Artificial Intelligence / General, COMPUTERS / Database Administration & Management, COMPUTERS / Computer Engineering, COMPUTERS / Data Science / Data Visualization, TECHNOLOGY & ENGINEERING / Electrical, TECHNOLOGY & ENGINEERING / Electronics / General, TECHNOLOGY & ENGINEERING / Power Resources / General WIDTH: 156 mm SPINE:

      Book Themes:

      Alternative and renewable energy sources and technology, Energy, power generation, distribution and storage, Electronics engineering, WAP (wireless) technology, Environmental science, engineering and technology, Information technology: general topics, Data capture and analysis, Artificial intelligence

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      Be the first to write a review
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      R. K. Viral is presently working as an Associate Professor in Department of Electrical & Electronics Engineering, Amity School of Engg. & Tech., Amity University, Noida, UP, INDIA. Additionally, he has more than 16-year teaching experience at UG and PG level in various engineering Institutes/Universities. He has awarded Doctoral degree from Indian Institute of Technology Roorkee, Roorkee in area of Distributed Generation in 2016. Received his Post graduate degree in Energy Systems also from IIT Roorkee in 2010 and graduated in Electrical Engineering (with honors) from MJP Rohilkhand University, Bareilly in 2003. His research interests include Distribution system planning and optimization, Renewable energy system, soft computing techniques in power systems, Small hydro power design, Development and Applications, Smart grid, Big data analytics and cyber security in power system. He is guiding five Ph.D students and supervised many M.Tech dissertations.He has filed more than 16 patents in various multi-disciplinary areas. He has also published more than 150 research publications in various International/national journals/conferences/Book chapters of repute and peer reviewed. He has one Edited book of CRC press, Taylor & Francis, and two is in process of Elsevier/CRC. He has served as TPC Member of several international conferences held worldwide. He is also an active member of professional societies i.e. IEEE, PES, ISTE, IEI, IDES, ACEEE, and contributing editorial board member (IJORCS, IJESCE, IJBST etc.) and reviewer of various international journals.Divya Asija is an Assistant Professor in the Electrical and Electronics Engineering Department of Amity School of Engineering and Technology at the Amity University Noida, India, where she has been a faculty member since 2012. She has more than 16 years teaching experience at various prestigious institutions/universities. She completed his PhD at Amity University, Noida and her postgraduate studies at YMCA, Faridabad. Her research interests include power systems, ranging from congestion management to renewable energy resources, distributed generation, smart grids and electric vehicles. She has filed five patents and applied various funded projects of different government and private agencies. She is also the author and coauthors of over 75 research papers and book chapters in several international journals of repute. She is also an active reviewer of international journals (Energy (Elsevier), the International Journal of System Assurance Engineering and Management (Springer), the International Journal of Emerging Electric Power Systems (Degruyter), the International Journal of Electrical and Computer Engineering (Institute of Advanced Engineering and Science), the Journal of Electrical Engineering & Technology (Springer) and the International Journal of Renewable Energy Research). In the interim, she was also awarded for outstanding contribution in reviewing by Energy, Elsevier for the academic years

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