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Full Description
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.
Contents
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
