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Intelligent Data-Driven Modelling and Optimization in Power and Energy Applications

B Rajanarayan Prusty
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      This book provides a comprehensive understanding of how intelligent data-driven techniques can be used for modelling, controlling, and optimizing various power and energy applications. It aims to develop multiple data-driven models for forecasting renewable energy sources and to interpret the benefits of these techniques in line with first-principles modelling approaches. By doing so, the book aims to stimulate deep insights into computational intelligence approaches in data-driven models and to promote their potential applications in the power and energy sectors. Its key features include:• an exclusive section on essential preprocessing approaches for the data-driven model,• a detailed overview of data-driven model applications to power system planning and operational activities,• specific focus on developing forecasting models for renewable generations such as solar PV and wind power, and• showcasing the judicious amalgamation of allied mathematical treatments such as optimization and fractional calculus in data-driven model-based frameworks.This book presents novel concepts for applying data-driven models, mainly in the power and energy sectors, and is intended for graduate students, industry professionals, research, and academic personnel.
      Format: CONTRIBUTORS: B Rajanarayan Prusty EAN: 9781032472065 COUNTRY: United Kingdom PAGES: WEIGHT: HEIGHT: 234 cm
      PUBLISHED BY: Taylor & Francis Ltd DATE PUBLISHED: 2024-05-09 CITY: GENRE: TECHNOLOGY & ENGINEERING / Electrical, TECHNOLOGY & ENGINEERING / Electronics / General WIDTH: 156 cm SPINE:

      Book Themes:

      Energy, Energy, power generation, distribution and storage, Automatic control engineering, Environmental science, engineering and technology, Information technology: general topics, Artificial intelligence

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      B Rajanarayan Prusty (Senior Member, IEEE) is a Professor and Associate Dean Research in the School of Engineering, Galgotias University, Greater Noida, India. He obtained his Ph.D. from the National Institute of Technology Karnataka, Surathkal. His exceptional research work during his Ph.D. has led him to win the prestigious POSOCO Power System Awards for 2019 by Power System Operation Corporation Limited in partnership with IIT Delhi. In recognition of his publications from 2017 to 2019, he was awarded the University Foundation Day Research Award 2019 from BPUT, Rourkela, Odisha. He has 30 SCI journal publications and 50 international conference publications. He has authored 10 book chapters. He has co-authored a textbook entitled Power System Analysis: Operation and Control in I. K. International Publishing House Pvt. Ltd. He has also edited two books for CRC Press. He has been an active reviewer and has reviewed more than 500 manuscripts. He is the Associate Editor of the Journal of Electrical Engineering&Technology and the International Journal of Power and Energy Systems. He is also the Academic Editor for the journals (i) Mathematical Problems in Engineering, (ii) International Transactions on Electrical Energy Systems, and (iii) Journal of Electrical and Computer Engineering. He has handled more than 200 manuscripts in the capacity of Journal Editor. His research interests include data preprocessing, time series forecasting, high-dimensional dependence modelling, and applying machine learning and probabilistic methods to power system problems.Neeraj Gupta obtained his Ph.D. in power systems from the Indian Institute of Technology Roorkee, Roorkee, India. He is a senior member of IEEE. He was a faculty with Thapar University, from 2008 to 2009, Adani Institute of Infrastructure Engineering, Ahmedabad, India, in 2015 and NIT Hamirpur from 2015 to 2018, and presently, he has been working as Assistant Professor with the Electrical Engineering Department, National Institute of Technology, Srinagar, J&K, India. His work has been published in Q-1 international journals of repute like IEEE, Elsevier, etc. He is presently guiding four Ph.D. scholars in the area of power systems. He has also supervised eight M.Tech. and four B.Tech. dissertations. He has more than 40 SCI journal publications/conference publications/book chapters to his credit. He has edited three books titled Control of Standalone Microgrid (Elsevier 2021), Renewable Energy Integration to the Grid: A Probabilistic Perspective (CRC Press 2022), and Smart Electrical and Mechanical Systems: An Application Publisher (Elsevier 2022). He has been an active reviewer since 2015 and has reviewed 200 manuscripts submitted to repute SCI-indexed journals/conferences. He has delivered 15 invited expert talks in various organizations in India. He is also the scientific advisory/organizing secretary of many reputed conferences in the country. He is a referee of reputed journals of IEEE, Elsevier,
      This book provides a comprehensive understanding of how intelligent data-driven techniques can be used for modelling, controlling, and optimizing various power and energy applications. It aims to develop multiple data-driven models for forecasting renewable energy sources and to interpret the benefits of these techniques in line with first-principles modelling approaches. By doing so, the book aims to stimulate deep insights into computational intelligence approaches in data-driven models and to promote their potential applications in the power and energy sectors. Its key features include:• an exclusive section on essential preprocessing approaches for the data-driven model,• a detailed overview of data-driven model applications to power system planning and operational activities,• specific focus on developing forecasting models for renewable generations such as solar PV and wind power, and• showcasing the judicious amalgamation of allied mathematical treatments such as optimization and fractional calculus in data-driven model-based frameworks.This book presents novel concepts for applying data-driven models, mainly in the power and energy sectors, and is intended for graduate students, industry professionals, research, and academic personnel.
      Format: CONTRIBUTORS: B Rajanarayan Prusty EAN: 9781032472065 COUNTRY: United Kingdom PAGES: WEIGHT: HEIGHT: 234 cm
      PUBLISHED BY: Taylor & Francis Ltd DATE PUBLISHED: 2024-05-09 CITY: GENRE: TECHNOLOGY & ENGINEERING / Electrical, TECHNOLOGY & ENGINEERING / Electronics / General WIDTH: 156 cm SPINE:

      Book Themes:

      Energy, Energy, power generation, distribution and storage, Automatic control engineering, Environmental science, engineering and technology, Information technology: general topics, Artificial intelligence

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      B Rajanarayan Prusty (Senior Member, IEEE) is a Professor and Associate Dean Research in the School of Engineering, Galgotias University, Greater Noida, India. He obtained his Ph.D. from the National Institute of Technology Karnataka, Surathkal. His exceptional research work during his Ph.D. has led him to win the prestigious POSOCO Power System Awards for 2019 by Power System Operation Corporation Limited in partnership with IIT Delhi. In recognition of his publications from 2017 to 2019, he was awarded the University Foundation Day Research Award 2019 from BPUT, Rourkela, Odisha. He has 30 SCI journal publications and 50 international conference publications. He has authored 10 book chapters. He has co-authored a textbook entitled Power System Analysis: Operation and Control in I. K. International Publishing House Pvt. Ltd. He has also edited two books for CRC Press. He has been an active reviewer and has reviewed more than 500 manuscripts. He is the Associate Editor of the Journal of Electrical Engineering&Technology and the International Journal of Power and Energy Systems. He is also the Academic Editor for the journals (i) Mathematical Problems in Engineering, (ii) International Transactions on Electrical Energy Systems, and (iii) Journal of Electrical and Computer Engineering. He has handled more than 200 manuscripts in the capacity of Journal Editor. His research interests include data preprocessing, time series forecasting, high-dimensional dependence modelling, and applying machine learning and probabilistic methods to power system problems.Neeraj Gupta obtained his Ph.D. in power systems from the Indian Institute of Technology Roorkee, Roorkee, India. He is a senior member of IEEE. He was a faculty with Thapar University, from 2008 to 2009, Adani Institute of Infrastructure Engineering, Ahmedabad, India, in 2015 and NIT Hamirpur from 2015 to 2018, and presently, he has been working as Assistant Professor with the Electrical Engineering Department, National Institute of Technology, Srinagar, J&K, India. His work has been published in Q-1 international journals of repute like IEEE, Elsevier, etc. He is presently guiding four Ph.D. scholars in the area of power systems. He has also supervised eight M.Tech. and four B.Tech. dissertations. He has more than 40 SCI journal publications/conference publications/book chapters to his credit. He has edited three books titled Control of Standalone Microgrid (Elsevier 2021), Renewable Energy Integration to the Grid: A Probabilistic Perspective (CRC Press 2022), and Smart Electrical and Mechanical Systems: An Application Publisher (Elsevier 2022). He has been an active reviewer since 2015 and has reviewed 200 manuscripts submitted to repute SCI-indexed journals/conferences. He has delivered 15 invited expert talks in various organizations in India. He is also the scientific advisory/organizing secretary of many reputed conferences in the country. He is a referee of reputed journals of IEEE, Elsevier,

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