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.
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.
Chapter 1
Machine Learning and 5G-based Industrial IoT device positioning for
location-aware Power Quality Management
Ravi Sharma
Chapter 2
Overview and Comparative Application of On-Grid and Off-Grid Renewable Energy
Systems in Modern-Day Electrical Power Technology
Daniel Akinyele, Titus Ajewole, Olakunle Olabode and Ignatius Okakwu
Chapter 3
Conceptual Perspective of Renewable Energy Resources; A Paradigm Shift in
Combating World Climate Change
Titus Ajewole, Olakunle Olabode, Funso Ariyo, Daniel Akinyele, Ignatius
Okakwu and Ayo Olusesi
Chapter 4
Quantum neural networks for machine learning applied to tracking and control
of the dynamics of stochastic transmission lines
Harish Parthasarathy, Arti Vaish
Chapter 5
Power grid adaptive and block processing control based on EKF and large
deviation theory Harish Parthasarathy, Arti Vaish
Chapter 6
Energy aware power control scheme for IoT applications
Merin Susan Philip and Poonam Singh
Chapter 7
HARMONIC DISTORTIONS IN SMART DEVICES: A COMPREHENSIVE SURVEY FROM
CONVENTIONAL TO FUTURE SMART IOT DEVICES
Uttam Kumar Gupta, Dinesh Sethi, Pankaj Kumar Goswami, Garima Goswami and
Kumar Gautam
Chapter 8
Design of Nano and Microgrid using HetNet Switching Strategy
Shruthi D, Rajesh Kanna R, Rengaraj P and Raja Singh R
Chapter 9
Adaptive Smart Power Saving Techniques for Machine-toMachine Communication
Enabled Wireless Sensor Networks
J.Paruvathavardhini and Sudarmani Rajagopal
Chapter 10
An Efficient Lightweight Signature Verifiable Scheme for Node Authentication
using Tri-variate Polynomials over ECC for Decentralized Distributed PKI
Manoj Kumar, Suryya Farhat and Kumar Gautam
Chapter 11
Comparative Analysis of Rabbit Message Queue in Cloud Internet of Things
Ebenesar Anna Bagyam J, Vivesini D* and Preethi Sowndharya K
Chapter 12
NOVEL DRUG DELIVERY SYSTEMS
D Jeslin, Dr.Muralikrishnan Dhanasekaran and Dr.P.Panneerselvam
Chapter 13
Integration of Blockchain for IoT Communication
Jyoti Dargan and Dr. Neha Gupta
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 Whos Who in the World® Lifetime Achievement
Award and was successfully nominated as a candidate for the 20182021
edition of Whos 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.
