IoT, Machine Learning and Blockchain Technologies for Renewable Energy and Modern Hybrid Power Systems

by C. Sharmeela (Editor), P. Sanjeevikumar (Editor), P. Sivaraman (Editor), Meera Joseph (Editor)

Overview

This edited book comprises chapters that describe the IoT, machine learning, and blockchain technologies for renewable energy and modern hybrid power systems with simulation examples and case studies.

After reading this book, users will understand recent technologies such as IoT, machine learning techniques, and blockchain technologies and the application of these technologies to renewable energy resources and modern hybrid power systems through simulation examples and case studies.

Product Details

ISBN-13:	9781000824445
Publisher:	River Publishers
Publication date:	01/27/2023
Sold by:	Barnes & Noble
Format:	eBook
Pages:	304
File size:	32 MB
Note:	This product may take a few minutes to download.

About the Author

C. Sharmeela, Meera Joseph

Table of Contents

1. Introduction to IoT 2. IoT and its Requirements for Renewable Energy Resources 3. Power Quality Monitoring of Low Voltage Distribution System Toward Smart Distribution Grid Through IoT 4. Health Monitoring of a Transformer in a Smart Distribution System using IoT 5. Introduction To Machine Learning Techniques 6. Machine Learning Techniques for Renewable Energy Resources 7. Application of Optimization Technique in Modern Hybrid Power Systems 8. Application of Machine Learning Techniques in Modern Hybrid Power Systems – A Case Study 9. Establishing a Realistic Shunt Capacitor Bank with a Power System using PSO/ACCS 10. Introduction to Blockchain Technologies 11. Blockchain Technologies for Renewable Energy Resources with Case Study: SHA–256, 384, and 512