EUR 174,69
Quantità: 3 disponibili
Aggiungi al carrelloCondizione: New.
Condizione: New. 1st edition NO-PA16APR2015-KAP.
EUR 194,79
Quantità: 3 disponibili
Aggiungi al carrelloCondizione: New.
EUR 214,54
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 202,74
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New.
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 213,49
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New. In.
EUR 231,25
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 237,84
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
EUR 208,68
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New. Breaks down novel methodologies and tools from deep learning to generative adversarial networksSupports readers in implementing practical steps towards resilient renewable energyPresents practical guidance for readers on the challe.
Lingua: Inglese
Editore: Elsevier - Health Sciences Division Jul 2025, 2025
ISBN 10: 0443236402 ISBN 13: 9780443236402
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 291,46
Quantità: 1 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. Neuware - Enhancing Resilience in Power Distribution Systems presents practical guidance for readers on the challenges and potential solutions for resilience in modern power systems. The book begins by explaining the risks and problems for resilience presented by renewable-based power systems. It goes on to clarify the current state of research and propose several novel methodologies and technologies for analysis and improvement of power system resilience. These methods include deep learning, linear programming, and generative adversarial networks.Packed with practical steps and tools for implementing the latest technologies, this book provides researchers and industry professionals with guidance on the resilient systems of the future.
Lingua: Inglese
Editore: Elsevier - Health Sciences Division, 2025
ISBN 10: 0443236402 ISBN 13: 9780443236402
Da: Brook Bookstore On Demand, Napoli, NA, Italia
EUR 155,63
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: new. Questo è un articolo print on demand.
Lingua: Inglese
Editore: Elsevier - Health Sciences Division, Philadelphia, 2025
ISBN 10: 0443236402 ISBN 13: 9780443236402
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.
Paperback. Condizione: new. Paperback. Enhancing Resilience in Power Distribution Systems presents practical guidance for readers on the challenges and potential solutions for resilience in modern power systems. The book begins by explaining the risks and problems for resilience presented by renewable-based power systems. It goes on to clarify the current state of research and propose several novel methodologies and technologies for analysis and improvement of power system resilience. These methods include deep learning, linear programming, and generative adversarial networks.Packed with practical steps and tools for implementing the latest technologies, this book provides researchers and industry professionals with guidance on the resilient systems of the future. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Da: Revaluation Books, Exeter, Regno Unito
EUR 174,42
Quantità: 2 disponibili
Aggiungi al carrelloPaperback. Condizione: Brand New. 250 pages. 9.00x5.94x9.02 inches. In Stock. This item is printed on demand.
Lingua: Inglese
Editore: Elsevier - Health Sciences Division, Philadelphia, 2025
ISBN 10: 0443236402 ISBN 13: 9780443236402
Da: CitiRetail, Stevenage, Regno Unito
EUR 170,75
Quantità: 1 disponibili
Aggiungi al carrelloPaperback. Condizione: new. Paperback. Enhancing Resilience in Power Distribution Systems presents practical guidance for readers on the challenges and potential solutions for resilience in modern power systems. The book begins by explaining the risks and problems for resilience presented by renewable-based power systems. It goes on to clarify the current state of research and propose several novel methodologies and technologies for analysis and improvement of power system resilience. These methods include deep learning, linear programming, and generative adversarial networks.Packed with practical steps and tools for implementing the latest technologies, this book provides researchers and industry professionals with guidance on the resilient systems of the future. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.