Adaptive Power Quality for Power Management Units using Smart Technologies
eBook - ePub

Adaptive Power Quality for Power Management Units using Smart Technologies

  1. 346 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Adaptive Power Quality for Power Management Units using Smart Technologies

About this 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.

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Yes, you can access Adaptive Power Quality for Power Management Units using Smart Technologies by Arti Vaish, Pankaj Kumar Goswami, Surbhi Bhatia, Mokhtar Shouran, Arti Vaish,Pankaj Kumar Goswami,Surbhi Bhatia,Mokhtar Shouran in PDF and/or ePUB format, as well as other popular books in Computer Science & Computer Engineering. We have over one million books available in our catalogue for you to explore.

Information

Publisher
CRC Press
Year
2023
Print ISBN
9781032392998
eBook ISBN
9781000956733
Topic
Computer Science
Subtopic
Computer Engineering
Index
Computer Science

Table of contents

  1. Cover Page
  2. Half Title page
  3. Series Page
  4. Title Page
  5. Copyright Page
  6. Contents
  7. Preface
  8. Editors
  9. Contributors
  10. Chapter 1 Machine learning and 5G-based industrial IoT device positioning for location-aware power quality management
  11. Chapter 2 Overview and comparative application of on-grid and off-grid renewable energy systems in modern-day electrical power technology
  12. Chapter 3 Conceptual perspective of renewable energy resources: A paradigm shift in combating world climate change
  13. Chapter 4 Quantum neural networks for machine learning applied to the tracking and control of the dynamics of stochastic transmission lines
  14. Chapter 5 Power grid adaptive and block processing control based on the extended Kalman filter and large deviation theory
  15. Chapter 6 Energy-aware power control scheme for IoT applications
  16. Chapter 7 Harmonic distortions in smart devices: A comprehensive survey from conventional to future smart IoT devices
  17. Chapter 8 Design of nano- and microgrids using the HetNet switching strategy
  18. Chapter 9 Adaptive Smart Power Saving Techniques for Machine-to-Machine Communication-Enabled Wireless Sensor Networks
  19. Chapter 10 An efficient lightweight signature verifiable scheme for node authentication using trivariate polynomials over elliptic curve cryptography for decentralized distributed public key infrastructures
  20. Chapter 11 Comparative analysis of Rabbit Message Queue in the cloud: The Internet of Things
  21. Chapter 12 Novel drug delivery systems
  22. Chapter 13 Integration of Blockchain for IoT communication
  23. Index