Smart Energy and Electric Power Systems is popular PDF and ePub book, written by Sanjeevikumar Padmanaban in 2022-09-17, it is a fantastic choice for those who relish reading online the Technology & Engineering genre. Let's immerse ourselves in this engaging Technology & Engineering book by exploring the summary and details provided below. Remember, Smart Energy and Electric Power Systems can be Read Online from any device for your convenience.

Smart Energy and Electric Power Systems Book PDF Summary

Smart Energy and Electric Power Systems: Current Trends and New Intelligent Perspectives reviews key applications of intelligent algorithms and machine learning techniques to increasingly complex and data-driven power systems with distributed energy resources to enable evidence-driven decision-making and mitigate catastrophic power shortages. The book reviews foundations towards the integration of machine learning and smart power systems before addressing key challenges and issues. The work then explores AI- and ML-informed techniques to rebalancing of supply and demand. Methods discussed include distributed energy resources and prosumer markets, electricity demand prediction, component fault detection, and load balancing. Security solutions are introduced, along with potential solutions to cyberattacks, security data detection and critical loads in power systems. The work closes with a lengthy discussion, informed by case studies, on integrating AI and ML into the modern energy sector. Helps improve the prediction capability of AI algorithms to make evidence-based decisions in the smart supply of electricity, including load shedding Focuses on how to integrate AI and ML into the energy sector in the real-world, with many chapters accompanied by case studies Addresses a number of proven AI and ML- informed techniques in rebalancing supply and demand

Detail Book of Smart Energy and Electric Power Systems PDF

Smart Energy and Electric Power Systems
  • Author : Sanjeevikumar Padmanaban
  • Release : 17 September 2022
  • Publisher : Elsevier
  • ISBN : 9780323916851
  • Genre : Technology & Engineering
  • Total Page : 227 pages
  • Language : English
  • PDF File Size : 12,7 Mb

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