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ABOUT THE BOOK

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.

TABLE OF CONTENTS

Preface vii

Editors ix

Contributors xi

1 Machine learning and 5G-based industrial IoT device

positioning for location-aware power quality management 1

RAVI SHARMA

2 Overview and comparative application of on-grid and

off-grid renewable energy systems in modern-day

electrical power technology 25

DANIEL AKINYELE, TITUS AJEWOLE, OLAKUNLE OLABODE

AND IGNATIUS OKAKWU

3 Conceptual perspective of renewable energy resources:

A paradigm shift in combating world climate change 67

TITUS AJEWOLE, OLAKUNLE OLABODE, FUNSO ARIYO, DANIEL AKINYELE,

IGNATIUS OKAKWU AND EZEKIEL BABATUNDE OMONIYI

4 Quantum neural networks for machine learning applied

to the tracking and control of the dynamics of

stochastic transmission lines 105

HARISH PARTHASARATHY AND ARTI VAISH

5 Power grid adaptive and block processing control based

on the extended Kalman filter and large deviation theory 129

HARISH PARTHASARATHY AND ARTI VAISH

6 Energy-aware power control scheme for IoT applications 155

MERIN SUSAN PHILIP AND POONAM SINGH

7 Harmonic distortions in smart devices:

A comprehensive survey from conventional

to future smart IoT devices 175

UTTAM KUMAR GUPTA, DINESH SETHI, PANKAJ KUMAR GOSWAMI,

GARIMA GOSWAMI AND KUMAR GAUTAM

8 Design of nano- and microgrids using the HetNet

switching strategy 197

D. SHRUTHI, R. RAJESH KANNA, R. RENGARAJ AND R. RAJA SINGH

9 Adaptive Smart Power Saving Techniques for

Machine-to-Machine Communication-Enabled Wireless

Sensor Networks 223

J. PARUVATHAVARDHINI AND R. SUDARMANI

10 An efficient lightweight signature verifiable scheme for

node authentication using trivariate polynomials over

elliptic curve cryptography for decentralized distributed

public key infrastructures 255

MANOJ KUMAR, SURYYA FARHAT AND KUMAR GAUTAM

11 Comparative analysis of Rabbit Message Queue in the

cloud: The Internet of Things 273

J. EBENESAR ANNA BAGYAM, D. VIVESINI AND K. PREETHI SOWNDHARYA

12 Novel drug delivery systems 297

D. JESLIN, MURALIKRISHNAN DHANASEKARAN AND P. PANNEERSELVAM

13 Integration of Blockchain for IoT communication 319

JYOTI DARGAN AND NEHA GUPTA

Index 345