Green Machine Learning and Big Data for Smart Grids is popular PDF and ePub book, written by V. Indragandhi in 2024-11-01, 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, Green Machine Learning and Big Data for Smart Grids can be Read Online from any device for your convenience.

Green Machine Learning and Big Data for Smart Grids Book PDF Summary

Green Machine Learning and Big Data for Smart Grids: Practices and Applications is a guidebook to the best practices and potential for green data analytics when generating innovative solutions to renewable energy integration in the power grid. This book begins with a solid foundation in the concept of "green” machine learning and the essential technologies for utilising data analytics in smart grids. A variety of scenarios are examined closely, demonstrating the opportunities for supporting renewable energy integration using machine learning, from forecasting and stability prediction to smart metering and disturbance tests. Uses for control of physical components including inverters and converters are examined, along with policy implications. Importantly, real-world case studies and chapter objectives are combined to signpost essential information, and to support understanding and implementation. Part of the cutting-edge series 'Advances in Intelligent Energy Systems', 'Green Machine Learning and Big Data for Smart Grids' provides researchers, students, and industry practitioners with an understanding of the complex interactions and opportunities between data science and sustainable energy systems.

Detail Book of Green Machine Learning and Big Data for Smart Grids PDF

Green Machine Learning and Big Data for Smart Grids
  • Author : V. Indragandhi
  • Release : 01 November 2024
  • Publisher : Elsevier
  • ISBN : 0443289514
  • Genre : Technology & Engineering
  • Total Page : 0 pages
  • Language : English
  • PDF File Size : 9,7 Mb

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