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  5. Machine Learning Approaches to Non-Intrusive Load Monitoring

Machine Learning Approaches to Non-Intrusive Load Monitoring

af Roberto Bonfigli

indgår i SpringerBriefs in Energy serien

Machine Learning Approaches to Non-Intrusive Load Monitoring af Roberto Bonfigli
Bag om Machine Learning Approaches to Non-Intrusive Load Monitoring

Research on Smart Grids has recently focused on the energy monitoring issue, with the objective of maximizing the user consumption awareness in building contexts on the one hand, and providing utilities with a detailed description of customer habits on the other.

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  • Sprog:
  • Engelsk
  • ISBN:
  • 9783030307813
  • Indbinding:
  • Paperback
  • Sideantal:
  • 135
  • Udgivet:
  • 14. november 2019
  • Udgave:
  • 12020
  • Størrelse:
  • 155x235x0 mm.
  • Vægt:
  • 454 g.
  • BLACK WEEK
Leveringstid: 8-11 hverdage
Forventet levering: 9. december 2024

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Beskrivelse af Machine Learning Approaches to Non-Intrusive Load Monitoring

Research on Smart Grids has recently focused on the energy monitoring issue, with the objective of maximizing the user consumption awareness in building contexts on the one hand, and providing utilities with a detailed description of customer habits on the other.

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