Predictive modelling for energy management and power systems engineering

Predictive modelling for energy management and power systems engineering

by Deo, Ravinesh Roy, Sanjiban Sekhar Samui, Pijush

Type Book
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Predictive Modeling for Energy Management and Power Systems Engineering introduces readers to the cutting-edge use of big data and large computational infrastructures in energy demand estimation and power management systems. The book supports engineers and scientists who seek to become familiar with advanced optimization techniques for power systems designs, optimization techniques and algorithms for consumer power management, and potential applications of machine learning and artificial intell…

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Title Statements

  • Full title :Predictive modelling for energy management and power systems engineering / edited by Ravinesh Deo, Pijush Samui, Sanjiban Sekhar Roy.

Summary

Predictive Modeling for Energy Management and Power Systems Engineering introduces readers to the cutting-edge use of big data and large computational infrastructures in energy demand estimation and power management systems. The book supports engineers and scientists who seek to become familiar with advanced optimization techniques for power systems designs, optimization techniques and algorithms for consumer power management, and potential applications of machine learning and artificial intelligence in this field. The book provides modeling theory in an easy-to-read format, verified with on-site models and case studies for specific geographic regions and complex consumer markets.

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Edition Statements

  • Publication Date:©2021

Publication Statements

  • Publisher(s):Elsevier
  • Place of Publication:Amsterdam, Netherlands
  • Language:eng
  • Publication Date:©2021

The Physical Object

  • Description:1 online resource (xvi, 535 pages) : : illustrations

Edition Identifiers

  • ISBN:9780128177730, 012817773X
  • oclc:on1198720484
  • LC Classification:TK1001
  • Dewey Decimal:621.310113

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