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Enhancing Reliability in Distribution Networks

Language EnglishEnglish
Book Paperback
Book Enhancing Reliability in Distribution Networks Fangxing Fran Li
Libristo code: 44463529
Publishers Elsevier Science, July 2024
Enhancing Reliability in Distribution Networks presents practical guidance for readers on the challe... Full description
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Enhancing Reliability in Distribution Networks presents practical guidance for readers on the challenges and potential solutions for resilience in modern power systems. This 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, Enhancing Reliability in Distribution Networks provides researchers and industry professionals with guidance on the resilient systems of the future. Equips readers with the knowledge and tools to maximize resilience in modern renewable-integrated distribution systemsBreaks down novel methodologies and tools from deep learning to generative adversarial networksSupports readers in implementing practical steps towards resilient renewable energy

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About the book

Full name Enhancing Reliability in Distribution Networks
Author Fangxing Fran Li, Qingxin Shi, Jin Zhao
Language English
Binding Book - Paperback
Date of issue 2024
Number of pages 250
EAN 9780443236402
ISBN 0443236402
Libristo code 44463529
Publishers Elsevier Science
Weight 450
Dimensions 151 x 229

Categories

Technology, Engineering, Agriculture > Energy technology & engineering > Electrical engineering > Electric motors
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