This book covers issues associated with smart systems due to the presence
of onboard nonlinear components. It discusses the advanced architecture
of smart systems for power management units. It explores issues of power
management and identifies hazardous signals in the power management
units of smart devices. It
• 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 filters, shunt hybrid active power filters,
and the industrial internet of things in power quality management.
This book comprehensively discusses advancements of traditional electrical
grids, the benefits of smart grids to customers and stakeholders, properties
of smart grids, smart grid architecture, smart grid communication, and
smart grid security. It further covers the architecture of advance power management
units (PMU) of smart devices, and the identification of harmonic
distortions with respect to various sensor-based technology. It will serve as
an ideal reference text for senior undergraduate and graduate students, and
academic researchers in fields including electrical engineering, electronics,
communications engineering, and computer engineering.
Arti Vaish is a professor in the Department of Computer Engineering,
School of Engineering and Technology at O. P. Jindal University, Raigarh,
CG, India. She earned her PhD degree from Netaji Subhash Institute of
Technology, Delhi University, New Delhi, India (2012). She has registered
20 patents and published and presented more than a hundred research
papers in SCI indexed/Scopus indexed international journals and at
international and national conferences. She has authored six books. She
has over 18 years of rich experience in academia and research. She is a
recipient of the 2021 Who’s Who in the World® Lifetime Achievement
Award and was successfully nominated as a candidate for the 2018–2021
edition of Who’s Who in America. She received an academic excellence
award from WeGrow and the Ministry of Micro, Small and Medium
Enterprises (MSME) in 2020 and the best researcher award in 2020 from
the Institute of Technical and Scientific Research (ITSR) Foundation. She
had guided six PhD students. Dr Arti has been a reviewer for several
archived journals at the international level: Progress in Electromagnetic
Research, Wireless Personal Communication, the IETE Journal of
Research, and WSEAS Transactions, to name a few of them.
Pankaj Kumar Goswami earned B.Tech., M.Tech, and PhD degrees in the
area of Electronic Engineering and has 15 years of teaching experience
in reputed organisations. He has more than 30 international publications
in peer-reviewed journals, including IEEE Explore, which are Scopus and
SCI indexed. His main areas of research are machine learning, the internet
of things, wideband antenna designs, cognitive radios, and power quality
issues in non-linear electronic devices. He has organised several national
and international conferences, symposia, and webinars. Dr Goswami has
also registered several patents in the fields of antenna design, the internet
of things, and 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 university interfaces and has visited several times the
SAARC countries of Nepal, Bhutan, the seven sisters (Arunachal Pradesh,
Assam, Manipur, Meghalaya, Mizoram, Nagaland, and Tripura), and the
“brother” state Sikkim for various academic promotional activities. He
is a professional member of several national and international bodies
such as, IEEE, IETE and ISTE. Dr Goswami has been involved in various
educational outreach activities through online sessions on artificial intelligence,
machine learning, and smart antennas.
Surbhi Bhatia holds a doctorate in Computer Science and Engineering from
Banasthali University, which she earned in 2018 in the area of machine
learning and social media analytics. She earned project management professional
certification from the Project Management Institute, USA. She
is currently an assistant professor in the Department of Data Science,
School of Science, Engineering and Environment, University of Salford,
Manchester, United Kindgom. She has more than ten years of teaching
experience in different universities in India and Saudi Arabia. She is also
a consultant in the Research Lab, India. She is an editorial board member
for the International Journal of Hybrid Intelligence and for SN Applied
Sciences. She has registered eight national and international patents in
India, Australia, and the USA. She has published many papers in reputed
journals and in high indexing databases (SCI, SCIE, Scopus, Web of
Science, ESCI). She currently serves as a guest editor of special issues for
the journals SN Applied Sciences, Computer, Materials and Continua,
and Internet of Things. She has delivered talks as a keynote speaker at
IEEE conferences and in faculty development programmes. She has conducted
workshops for All India Council for Technical Education (AICTE)
programmers and chaired technical sessions at many conferences. She has
authored two books published by Springer and Wiley. She has also edited
seven books with CRC Press, Elsevier, and Springer. She was selected
for the prestigious “Best Young National Award” by the IRDP group of
journals in India. She has had many projects approved by the Ministry
of Education, Saudi Arabia and holds a Deanship of Scientific Research
in Saudi Arabia and DST, India. Her areas of interest are Data Mining,
Machine Learning, Sentiment Analysis, Natural Language Processing,
and Data Analytics.
Mokhtar Shouran earned a BSc degree in Control Engineering from the
College of Electronic Technology, Bani Walid, Libya, in 2011. He earned
an MSc degree with distinction in Electronics and Information Technology
from the University of South Wales, Treforest, UK, in 2017. He was also
awarded a certificate of excellence. Shouran is currently pursuing a PhD
degree in Load Frequency Control in Power Systems at the Wolfson
Centre for Magnetics, Cardiff University, Cardiff, UK. His research interests
include Optimisation Algorithms, Fuzzy Logic Control, Sliding Mode
Control, Traditional Control, and Power System Stability and Control.
