IoT, Machine Learning and Blockchain Technologies for Renewable Energy and Modern Hybrid Power Systems (eBook, PDF)

Redaktion: Sharmeela, C.; Joseph, Meera; Sivaraman, P.; Sanjeevikumar, P.

• Format: PDF

Produktbeschreibung

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.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 304
• Erscheinungstermin: 27. Januar 2023
• Englisch
• ISBN-13: 9781000824407
• Artikelnr.: 66982444

Autorenporträt

C. Sharmeela, Meera Joseph

Inhaltsangabe

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