Data-Driven Modelling of Non-Domestic Buildings Energy Performance Supporting Building Retrofit Planning /

書誌詳細
主要な著者: Seyedzadeh, Saleh (著者), Pour Rahimian, Farzad (著者)
団体著者: SpringerLink (Online service)
要約:XIV, 153 p. 48 illus. in color.
text
言語:英語
出版事項: Cham : Springer International Publishing : Imprint: Springer, 2021.
版:1st ed. 2021.
シリーズ:Green Energy and Technology,
主題:
オンライン・アクセス:https://doi.org/10.1007/978-3-030-64751-3
フォーマット: 電子媒体 図書
目次:
  • Introduction
  • Building Energy Performance Assessment
  • Machine Learning for Building Energy Forecasting
  • Building Retrofit Planning
  • Machine Learning Models for Prediction of Building Energy Performance
  • Building Energy Data Driven Model Improved by Multi-Objective Optimisation
  • Modelling Energy Performance of Non-Domestic Buildings.