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

書目詳細資料
Main Authors: Seyedzadeh, Saleh (Author), Pour Rahimian, Farzad (Author)
企業作者: SpringerLink (Online service)
總結:XIV, 153 p. 48 illus. in color.
text
語言:英语
出版: Cham : Springer International Publishing : Imprint: Springer, 2021.
版:1st ed. 2021.
叢編:Green Energy and Technology,
主題:
在線閱讀:https://doi.org/10.1007/978-3-030-64751-3
格式: 電子 圖書
書本目錄:
  • 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.