Adaptive Power Quality for Power Management Units Using Smart Technologies
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Adaptive Power Quality for Power Management Units Using Smart Technologies

Adaptive Power Quality for Power Management Units Using Smart Technologies


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About the Book

This proposed book covers the issues associated in smart systems due to the presence of onboard nonlinear components. It discusses the advanced architecture of smart system for power management unit. It explores the issues in power management and identifies the hazardous signal in power management unit of smart devices.

  • Presents adaptive artificial intelligence and machine learning-based control strategies.
  • Discusses advanced simulations and data synthesis for various power management issues.
  • Showcases solutions to the uncertainty and reliability issues in power management units.
  • Identifies new power quality challenges in smart devices.
  • Explains hybrid active power filter, shunt hybrid active power filter, and industrial internet of things in power quality management.

The book comprehensively discusses advancements of traditional electrical grid, benefit of smart grid to customers, benefit of smart grid to stakeholders, properties of smart grid, smart grid architecture, smart grid communication, and smart grid security. It further covers architecture of advance power management units (PMU) of smart devices, and identification of harmonic distortions with respect to various sensor-based technology. It will serve as an ideal reference text for senior undergraduate, graduate students, and academic researchers in the fields including electrical engineering, electronics, and communications engineering, and computer engineering.


About the Author:

Dr. Bharat Bhushan is an Assistant Professor of Department of Computer Science and Engineering (CSE) at School of Engineering and Technology, Sharda University, Greater Noida, India. He is an alumnus of Birla Institute of Technology, Mesra, Ranchi, India. He received his Undergraduate Degree (B-Tech in Computer Science and Engineering) with Distinction in 2012, received his Postgraduate Degree (M-Tech in Information Security) with Distinction in 2015 and Doctorate Degree (PhD Computer Science and Engineering) in 2021 from Birla Institute of Technology, Mesra, India. He earned numerous international certifications such as CCNA, MCTS, MCITP, RHCE and CCNP. In the last three years, he has Published more than 80 research papers in various renowned International conferences and SCI indexed journals. He has contributed with more than 25 book chapters in various books and has edited 11 books from the most famed publishers like Elsevier, IGI Global, and CRC Press. In the past, he worked as an assistant professor at HMR Institute of Technology and Management, New Delhi and Network Engineer in HCL Infosystems Ltd., Noida. He is also a member of numerous renowned bodies including IEEE, IAENG, CSTA, SCIEI, IAE and UACEE.

Dr. Arti Vaish at present is working as a Professor in the Department of Computer Engineering, School of Engineering and Technology at O P Jindal University, Raigarh, CG, India. She received her Ph.D. Degree from Netaji Subhash Institute of Technology, Delhi University, New Delhi, India (2012). She has published twenty patents, more than hundred research papers in SCI Indexed/ Scopus Indexed International journals/ International- National Conferences. She has authored six books. She has over 18 years of rich experience in Academics and research. She is Recipient of 2021 Who's Who in the World(R) Lifetime Achievement Award! Also BEING NOMINATED AS A BIOGRAPHICAL CANDIDATE TO BE INCLUDED IN THE 2018- 2021 EDITION OF WHO'S WHO IN AMERICA --- the best-known and well-respected biographical resource featuring America's most accomplished individuals since 1899. She Received academic excellence award from WeGrow and MSME 2020 and best researcher award 2020 from ITSR Foundation. She had guided six PhD students. Dr. Arti has been reviewer for several archived journals at the International level. Progress in Electromagnetic Research, Wireless Personal Communication, IETE journal of research, WSEAS Transactions etc. are to name a few of them.

Dr. Pankaj Kumar Goswami has received the B.Tech. M.Tech and Ph.D degree in the area of electronics engineering with vast teaching experience of 15 Years in reputed organizations. He has more than 30 international publications in the reputed peer-reviewed journals including IEEE xplore, SCOPUS and SCI indexed. He is a potential reviewer of reputed journals/conferences indexed in Scopus & Web of Science. His main area of research is Machine Learnings, the internet of things, wideband antenna designs, cognitive radios and power quality issues in nonlinear electronics devices. He has organized several national and international conferences, symposia and Webinars. Dr Goswami has also published several patents in the field of antenna designs, the internet of things, Machine learning-based applications under the Intellectual Property Rights of the Government of India. He is an e-educator in the field of Machine learning using Python. He is actively associated in NAAC SSR preparations at Universities interface and visited several times SAARC countries Nepal, Bhutan and Seven sisters for various academic promotional activities. He is a professional member of several national and international bodies. Dr Goswami has been involved in various educational outreach activities through online sessions on artificial intelligence, machine learning and smart antenna.

Dr. Surbhi Bhatia is doctorate in Computer Science and Engineering from Banasthali University, 2018 in the area of machine learning and social media analytics. She earned Project management Professional Certification from reputed Project Management Institute, USA. She is currently an Assistant Professor in Department of Information Systems, College of Computer Sciences and Information Technology, King Faisal University, Saudi Arabia. She has more than 10 years of teaching experience in different universities from India and Saudi Arabia. She is also working as a consultant in the Research Lab, India. She is the Editorial board member with Inderscience Publishers in the International Journal of Hybrid Intelligence and in SN Applied Sciences, Springer. She has published eight national and international patents from India, Australia and US. She has published many papers in reputed journals and conferences in high indexing databases (SCI, SCIE, Scopus, Web of Science, ESCI). She is currently serving as a guest editor of special issues in reputed journals of Springer (SN Applied Sciences, Indexing ESCI, Springer), Computer, Materials and Continua (Indexing SCI, Scopus), Internet of Things (Indexing: SCIE, Elsevier), Hindawi, bentham Science and in many international conferences (indexing: Springer, IEEE, IOP) . She has delivered talks as keynote speaker in IEEE conferences and in faculty development programs. She has conducted workshops in AICTE programmers and chaired technical sessions in many conferences. She has successfully authored 2 books from Springer and Wiley. She has also edited 7 books from CRC Press, Elsevier and Springer. She has been selected in the prestigious "Best Young National Award" by IRDP group of Journals in India. She has many projects approved from Ministry of Education, Saudi Arabia and Deanship of Scientific Research in Saudi Arabia and from DST, India. Her area of interest is Data Mining, Machine Learning, Sentiment Analysis, Natural language Processing and Data Analytics

Mokhtar Shouran received the B.Sc. degree in Control Engineering from College of Electronic Technology, Bani Walid, Libya, in 2011, the M.Sc. degree with distinction in Electronics and Information Technology from University of South Wales, Treforest, U.K., in 2017, he was also rewarded a certificate of excellence. Shouran is currently pursuing the Ph.D. degree in Load Frequency Control in Power Systems at Wolfson Centre for Magnetics, Cardiff University, Cardiff, U.K. His research interests include Optimisation Algorithms, Fuzzy Logic Control, Sliding Mode Control, Traditional Control and Power system Stability and Control.


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Product Details
  • ISBN-13: 9781032392998
  • Publisher: CRC Press
  • Publisher Imprint: Crc Press
  • Height: 234 mm
  • No of Pages: 368
  • Spine Width: 21 mm
  • Width: 156 mm
  • ISBN-10: 1032392991
  • Publisher Date: 02 Oct 2023
  • Binding: Hardback
  • Language: English
  • Returnable: N
  • Weight: 734 gr


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