Lingua: Inglese
Editore: The Institution of Engineering and Technology, 2024
ISBN 10: 1839537744 ISBN 13: 9781839537745
Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 127,95
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Lingua: Inglese
Editore: The Institution of Engineering and Technology, 2024
ISBN 10: 1839537744 ISBN 13: 9781839537745
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 136,06
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Lingua: Inglese
Editore: Institution of Engineering and Technology, GB, 2024
ISBN 10: 1839537744 ISBN 13: 9781839537745
Da: Rarewaves USA, OSWEGO, IL, U.S.A.
EUR 159,07
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Aggiungi al carrelloHardback. Condizione: New. Rising shares of renewable energy are needed to stave off catastrophic climate change, but also bring about the challenge of intermittency, jeopardizing power quality. Instead of large central generation units, many distributed generators and loads need to be managed in order to integrate renewable energy with power systems. Artificial intelligence (AI) can meet this challenge with adaptive control and demand side management. When managing distributed and changing network components, AI can give control computers human-level performance, helping to solve key issues with intermittency, power quality and distributed generation and loads including EV. Use of AI for power systems has therefore become a research hotspot. This reference book systematically treats the applications of AI in power electronics and renewable energy systems. The book begins with an introduction to AI in power systems, then subsequent chapters cover the use of AI for electric machine fault diagnosis, for power electronic reliability, design, and control, in dual-active-bridge converters; AI for distribution network voltage control, signal stability control, and energy management of hybrid systems as well as for renewable energy systems with AI. The book ends with conclusions and an outlook for AI in power systems. Numerous worked examples throughout the text help readers understand the operating and controlling guidelines. Written by a team of well-known scientists and power system experts, AI for Power Electronics and Renewable Energy Systems is a valuable resource for researchers and PhD students, as well as experts in industry and utilities involved with electric power systems.
Lingua: Inglese
Editore: The Institution of Engineering and Technology, 2024
ISBN 10: 1839537744 ISBN 13: 9781839537745
Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 156,74
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Lingua: Inglese
Editore: The Institution of Engineering and Technology, 2024
ISBN 10: 1839537744 ISBN 13: 9781839537745
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 146,69
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Lingua: Inglese
Editore: The Institution of Engineering and Technology, 2024
ISBN 10: 1839537744 ISBN 13: 9781839537745
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 152,45
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Lingua: Inglese
Editore: Institution of Engineering and Technology, GB, 2024
ISBN 10: 1839537744 ISBN 13: 9781839537745
Da: Rarewaves.com USA, London, LONDO, Regno Unito
EUR 174,49
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Aggiungi al carrelloHardback. Condizione: New. Rising shares of renewable energy are needed to stave off catastrophic climate change, but also bring about the challenge of intermittency, jeopardizing power quality. Instead of large central generation units, many distributed generators and loads need to be managed in order to integrate renewable energy with power systems. Artificial intelligence (AI) can meet this challenge with adaptive control and demand side management. When managing distributed and changing network components, AI can give control computers human-level performance, helping to solve key issues with intermittency, power quality and distributed generation and loads including EV. Use of AI for power systems has therefore become a research hotspot. This reference book systematically treats the applications of AI in power electronics and renewable energy systems. The book begins with an introduction to AI in power systems, then subsequent chapters cover the use of AI for electric machine fault diagnosis, for power electronic reliability, design, and control, in dual-active-bridge converters; AI for distribution network voltage control, signal stability control, and energy management of hybrid systems as well as for renewable energy systems with AI. The book ends with conclusions and an outlook for AI in power systems. Numerous worked examples throughout the text help readers understand the operating and controlling guidelines. Written by a team of well-known scientists and power system experts, AI for Power Electronics and Renewable Energy Systems is a valuable resource for researchers and PhD students, as well as experts in industry and utilities involved with electric power systems.
Da: Majestic Books, Hounslow, Regno Unito
EUR 176,09
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Lingua: Inglese
Editore: Inst of Engineering & Technology, 2024
ISBN 10: 1839537744 ISBN 13: 9781839537745
Da: Revaluation Books, Exeter, Regno Unito
EUR 170,04
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Aggiungi al carrelloHardcover. Condizione: Brand New. 350 pages. 9.22x6.15x9.21 inches. In Stock.
Lingua: Inglese
Editore: Institution of Engineering and Technology, GB, 2024
ISBN 10: 1839537744 ISBN 13: 9781839537745
Da: Rarewaves USA United, OSWEGO, IL, U.S.A.
EUR 146,70
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Aggiungi al carrelloHardback. Condizione: New. Rising shares of renewable energy are needed to stave off catastrophic climate change, but also bring about the challenge of intermittency, jeopardizing power quality. Instead of large central generation units, many distributed generators and loads need to be managed in order to integrate renewable energy with power systems. Artificial intelligence (AI) can meet this challenge with adaptive control and demand side management. When managing distributed and changing network components, AI can give control computers human-level performance, helping to solve key issues with intermittency, power quality and distributed generation and loads including EV. Use of AI for power systems has therefore become a research hotspot. This reference book systematically treats the applications of AI in power electronics and renewable energy systems. The book begins with an introduction to AI in power systems, then subsequent chapters cover the use of AI for electric machine fault diagnosis, for power electronic reliability, design, and control, in dual-active-bridge converters; AI for distribution network voltage control, signal stability control, and energy management of hybrid systems as well as for renewable energy systems with AI. The book ends with conclusions and an outlook for AI in power systems. Numerous worked examples throughout the text help readers understand the operating and controlling guidelines. Written by a team of well-known scientists and power system experts, AI for Power Electronics and Renewable Energy Systems is a valuable resource for researchers and PhD students, as well as experts in industry and utilities involved with electric power systems.
Da: Revaluation Books, Exeter, Regno Unito
EUR 180,93
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Aggiungi al carrelloPaperback. Condizione: Brand New. 500 pages. 9.00x6.00x9.02 inches. In Stock.
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Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 198,05
Quantità: 3 disponibili
Aggiungi al carrelloCondizione: New.
Lingua: Inglese
Editore: Institution of Engineering and Technology, GB, 2024
ISBN 10: 1839537744 ISBN 13: 9781839537745
Da: Rarewaves.com UK, London, Regno Unito
EUR 166,04
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Aggiungi al carrelloHardback. Condizione: New. Rising shares of renewable energy are needed to stave off catastrophic climate change, but also bring about the challenge of intermittency, jeopardizing power quality. Instead of large central generation units, many distributed generators and loads need to be managed in order to integrate renewable energy with power systems. Artificial intelligence (AI) can meet this challenge with adaptive control and demand side management. When managing distributed and changing network components, AI can give control computers human-level performance, helping to solve key issues with intermittency, power quality and distributed generation and loads including EV. Use of AI for power systems has therefore become a research hotspot. This reference book systematically treats the applications of AI in power electronics and renewable energy systems. The book begins with an introduction to AI in power systems, then subsequent chapters cover the use of AI for electric machine fault diagnosis, for power electronic reliability, design, and control, in dual-active-bridge converters; AI for distribution network voltage control, signal stability control, and energy management of hybrid systems as well as for renewable energy systems with AI. The book ends with conclusions and an outlook for AI in power systems. Numerous worked examples throughout the text help readers understand the operating and controlling guidelines. Written by a team of well-known scientists and power system experts, AI for Power Electronics and Renewable Energy Systems is a valuable resource for researchers and PhD students, as well as experts in industry and utilities involved with electric power systems.
Lingua: Inglese
Editore: Elsevier - Health Sciences Division, 2026
ISBN 10: 0443363641 ISBN 13: 9780443363641
Da: Brook Bookstore On Demand, Napoli, NA, Italia
EUR 160,74
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: new. Questo è un articolo print on demand.
Lingua: Inglese
Editore: Elsevier - Health Sciences Division, Philadelphia, 2026
ISBN 10: 0443363641 ISBN 13: 9780443363641
Da: CitiRetail, Stevenage, Regno Unito
EUR 177,98
Quantità: 1 disponibili
Aggiungi al carrelloPaperback. Condizione: new. Paperback. Hybrid AC/DC Microgrids: Optimization, Energy Management, and Protection This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.