Intelligent and Soft Computing Systems for Green Energy
eBook - PDF

Intelligent and Soft Computing Systems for Green Energy

  1. English
  2. PDF
  3. Available on iOS & Android
eBook - PDF

Intelligent and Soft Computing Systems for Green Energy

About this book

INTELLIGENT AND SOFT COMPUTING SYSTEMS FOR GREEN ENERGY

Written and edited by some of the world's top experts in the field, this exciting new volume provides state-of-the-art research and the latest technological breakthroughs in next-generation computing systems for the energy sector, striving to bring the science toward sustainability.

Real-world problems need intelligent solutions. Across many industries and fields, intelligent and soft computing systems, using such developing technologies as artificial intelligence and Internet of Things, are quickly becoming important tools for scientists, engineers, and other professionals for solving everyday problems in practical situations.

This book aims to bring together the research that has been carried out in the field of intelligent and soft computing systems. Intelligent and soft computing systems involves expertise from various domains of research, such as electrical engineering, computer engineering, and mechanical engineering. This book will serve as a point of convergence wherein all these domains come together.

The various chapters are configured to address the challenges faced in intelligent and soft computing systems from various fields and possible solutions. The outcome of this book can serve as a potential resource for industry professionals and researchers working in the domain of intelligent and soft computing systems.

To list a few soft computing techniques, neural-based load forecasting, IoT-enabled smart grids, and blockchain technology for energy trading. Whether for the veteran engineer or the student learning the latest breakthroughs, this exciting new volume is a must-have for any library.

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Yes, you can access Intelligent and Soft Computing Systems for Green Energy by A. Chitra,V. Indragandhi,W. Razia Sultana in PDF and/or ePUB format, as well as other popular books in Physical Sciences & Energy. We have over one million books available in our catalogue for you to explore.

Information

Publisher
Wiley-Scrivener
Year
2023
Print ISBN
9781394166374
eBook ISBN
9781394167517
Edition
1
Topic
Physical Sciences
Subtopic
Energy

Table of contents

  1. Cover
  2. Title Page
  3. Copyright Page
  4. Contents
  5. Preface
  6. Chapter 1 Placement and Sizing of Distributed Generator and Capacitor in a Radial Distribution System Considering Load Growth
  7. Chapter 2 Security Issues and Challenges for the IoT-Based Smart Grid
  8. Chapter 3 Electrical Load Forecasting Using Bayesian Regularization Algorithm in Matlab and Finding Optimal Solution via Renewable Source
  9. Chapter 4 Theft Detection Sensing by IoT in Smart Grid
  10. Chapter 5 Energy Metering and Billing Systems Using Arduino
  11. Chapter 6 Smart Meter Vulnerability Assessment Under Cyberattack Events – An Attempt to Safeguard
  12. Chapter 7 Power Quality Improvement for Grid-Connected Hybrid Wind-Solar Energy System Using a Three-Phase Three-Wire Grid-Interfacing Compensator
  13. Chapter 8 Energy Trading in Virtual Power Plant Enabled Communities Using Double Auction Technique and Blockchain Technology
  14. Chapter 9 Sales Demand Forecasting for Retail Marketing Using XGBoost Algorithm
  15. Chapter 10 Region-Based Convolutional Neural Networks for Selective Search
  16. Chapter 11 Design and Development of Mobility System for Double Amputees
  17. Chapter 12 A Review: Precision Vehicle Control Using Internet of Things
  18. Chapter 13 A Process of Analyzing Soil Moisture with the Integration of Internet of Things and Wireless Sensor Network
  19. Chapter 14 Automatic Angular Position Stabilization of Ambulance Stretcher in Real Time
  20. Chapter 15 Automated Ploughing Seeding with Water Management System
  21. Chapter 16 Detecting Fraudulent Data Using Stacked Auto-Encoding: A Three-Layer Approach
  22. Chapter 17 Artificial Intelligence-Based Ambulance
  23. Chapter 18 LoRa-Based Flaw Location Detection in HT Line Using GSM
  24. Chapter 19 Classification Models for Breast Cancer Detection
  25. Chapter 20 T-Count Optimized Quantum Comparator Circuit
  26. Chapter 21 IoT-Based Heart Rate Monitoring System for Smart Healthcare Applications
  27. Chapter 22 Neural Collaborative Filtering-Based Hybrid Recommender System for Online Movies Recommendation
  28. Chapter 23 Farmer’s Eye Using CNN
  29. Chapter 24 Solar Powered Density and Emergency-Based Traffic Control System Using NI LabVIEW
  30. Chapter 25 Observation of TCSU: Travel Cold Storage Unit Operated by SPV Technology
  31. Index
  32. EULA