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.
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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.
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
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Produktdetaljer

ISBN
9788770227247
Publisert
2023-01-27
Utgiver
Vendor
River Publishers
Vekt
940 gr
Høyde
234 mm
Bredde
156 mm
Aldersnivå
G, 01
Språk
Product language
Engelsk
Format
Product format
Innbundet
Antall sider
274