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{ "item_title" : "Enhancing Resilience in Power Distribution Systems", "item_author" : [" Fangxing Fran Li", "Qingxin Shi", "Jin Zhao "], "item_description" : "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.", "item_img_path" : "https://covers3.booksamillion.com/covers/bam/0/44/323/640/0443236402_b.jpg", "price_data" : { "retail_price" : "185.00", "online_price" : "185.00", "our_price" : "185.00", "club_price" : "185.00", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Enhancing Resilience in Power Distribution Systems|Fangxing Fran Li

Enhancing Resilience in Power Distribution Systems

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Overview

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 Non-Returnable

Details

  • ISBN-13: 9780443236402
  • ISBN-10: 0443236402
  • Publisher: Elsevier
  • Publish Date: July 2025
  • Dimensions: 8.98 x 5.98 x 0.55 inches
  • Shipping Weight: 0.92 pounds
  • Page Count: 232

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