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Data-Driven Modelling of Non-Domestic Buildings Energy Performance

- Supporting Building Retrofit Planning

Om Data-Driven Modelling of Non-Domestic Buildings Energy Performance

It explains how to determine the appropriate machine learning (ML) model, explores the selection and expansion of a reasonable dataset and discusses the extraction of relevant features and maximisation of model accuracy.This book develops a framework for the quick selection of a ML model based on the data and application.

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  • Språk:
  • Engelsk
  • ISBN:
  • 9783030647506
  • Bindende:
  • Hardback
  • Sider:
  • 153
  • Utgitt:
  • 16. januar 2021
  • Utgave:
  • 2021
  • Dimensjoner:
  • 155x235x0 mm.
  • Vekt:
  • 454 g.
  Gratis frakt
Leveringstid: 2-4 uker
Forventet levering: 13. april 2026

Beskrivelse av Data-Driven Modelling of Non-Domestic Buildings Energy Performance

It explains how to determine the appropriate machine learning (ML) model, explores the selection and expansion of a reasonable dataset and discusses the extraction of relevant features and maximisation of model accuracy.This book develops a framework for the quick selection of a ML model based on the data and application.

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