Data-Driven Modelling of Non-Domestic Buildings Energy Performance: Supporting Building Retrofit Planning - Green Energy and Technology - Saleh Seyedzadeh - Books - Springer Nature Switzerland AG - 9783030647537 - January 16, 2022
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Saleh Seyedzadeh
Data-Driven Modelling of Non-Domestic Buildings Energy Performance: Supporting Building Retrofit Planning - Green Energy and Technology 2021 edition

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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.

153 pages, 48 Illustrations, color; XIV, 153 p. 48 illus. in color.

Media Books     Paperback Book   (Book with soft cover and glued back)
Released January 16, 2022
ISBN13 9783030647537
Publishers Springer Nature Switzerland AG
Pages 153
Dimensions 150 × 220 × 10 mm   ·   267 g
Language German  

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