IoT, machine learning and blockchain technologies for renewable energy and modern hybrid power systems:
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 tec...
Gespeichert in:
| Weitere Verfasser: | , , , |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Gistrup, Denmark
River Publishers
2023
New York ; London Routledge |
| Schriftenreihe: | River Publishers series in information science and technology
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| Schlagworte: | |
| Zusammenfassung: | 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 |
| Beschreibung: | 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 |
| Beschreibung: | xxx, 274 Seiten Illustrationen, Diagramme 721 grams |
| ISBN: | 9788770227247 |
Internformat
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| 520 | |a 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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| id | DE-604.BV048690651 |
| illustrated | Illustrated |
| index_date | 2024-07-03T21:27:22Z |
| indexdate | 2024-07-10T09:46:14Z |
| institution | BVB |
| isbn | 9788770227247 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-034064862 |
| oclc_num | 1368410015 |
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| owner_facet | DE-29T |
| physical | xxx, 274 Seiten Illustrationen, Diagramme 721 grams |
| publishDate | 2023 |
| publishDateSearch | 2023 |
| publishDateSort | 2023 |
| publisher | River Publishers Routledge |
| record_format | marc |
| series2 | River Publishers series in information science and technology |
| spelling | IoT, machine learning and blockchain technologies for renewable energy and modern hybrid power systems editors C. Sharmeela, P. Sanjeevikumar, P. Sivaraman, Meera Joseph Gistrup, Denmark River Publishers 2023 New York ; London Routledge xxx, 274 Seiten Illustrationen, Diagramme 721 grams txt rdacontent n rdamedia nc rdacarrier River Publishers series in information science and technology 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 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 bicssc / Automatic control engineering bicssc / Alternative & renewable energy sources & technology bisacsh / SCIENCE / Energy bisacsh / TECHNOLOGY & ENGINEERING / Environmental / General bisacsh / TECHNOLOGY & ENGINEERING / Power Resources / Alternative & Renewable Sharmeela, C. edt Sanjeevikumar, Padmanaban 1978- (DE-588)1220850691 edt Sivaraman, P. edt Joseph, Meera edt Erscheint auch als Online-Ausgabe 978-10-0082-440-7 Erscheint auch als Online-Ausgabe, ebook master 978-10-0336-078-0 |
| spellingShingle | IoT, machine learning and blockchain technologies for renewable energy and modern hybrid power systems bicssc / Automatic control engineering bicssc / Alternative & renewable energy sources & technology bisacsh / SCIENCE / Energy bisacsh / TECHNOLOGY & ENGINEERING / Environmental / General bisacsh / TECHNOLOGY & ENGINEERING / Power Resources / Alternative & Renewable |
| title | IoT, machine learning and blockchain technologies for renewable energy and modern hybrid power systems |
| title_auth | IoT, machine learning and blockchain technologies for renewable energy and modern hybrid power systems |
| title_exact_search | IoT, machine learning and blockchain technologies for renewable energy and modern hybrid power systems |
| title_exact_search_txtP | IoT, machine learning and blockchain technologies for renewable energy and modern hybrid power systems |
| title_full | IoT, machine learning and blockchain technologies for renewable energy and modern hybrid power systems editors C. Sharmeela, P. Sanjeevikumar, P. Sivaraman, Meera Joseph |
| title_fullStr | IoT, machine learning and blockchain technologies for renewable energy and modern hybrid power systems editors C. Sharmeela, P. Sanjeevikumar, P. Sivaraman, Meera Joseph |
| title_full_unstemmed | IoT, machine learning and blockchain technologies for renewable energy and modern hybrid power systems editors C. Sharmeela, P. Sanjeevikumar, P. Sivaraman, Meera Joseph |
| title_short | IoT, machine learning and blockchain technologies for renewable energy and modern hybrid power systems |
| title_sort | iot machine learning and blockchain technologies for renewable energy and modern hybrid power systems |
| topic | bicssc / Automatic control engineering bicssc / Alternative & renewable energy sources & technology bisacsh / SCIENCE / Energy bisacsh / TECHNOLOGY & ENGINEERING / Environmental / General bisacsh / TECHNOLOGY & ENGINEERING / Power Resources / Alternative & Renewable |
| topic_facet | bicssc / Automatic control engineering bicssc / Alternative & renewable energy sources & technology bisacsh / SCIENCE / Energy bisacsh / TECHNOLOGY & ENGINEERING / Environmental / General bisacsh / TECHNOLOGY & ENGINEERING / Power Resources / Alternative & Renewable |
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