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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 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:
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


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Product Details
  • ISBN-13: 9781032566306
  • Publisher: Taylor & Francis Ltd
  • Binding: Paperback
  • Language: English
  • Width: 156 mm
  • ISBN-10: 1032566302
  • Publisher Date: 06 May 2025
  • Height: 234 mm
  • No of Pages: 346


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Adaptive Power Quality for Power Management Units using Smart Technologies
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