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

מידע ביבליוגרפי
Main Authors: Seyedzadeh, Saleh (Author), Pour Rahimian, Farzad (Author)
מחבר תאגידי: SpringerLink (Online service)
סיכום:XIV, 153 p. 48 illus. in color.
text
שפה:אנגלית
יצא לאור: Cham : Springer International Publishing : Imprint: Springer, 2021.
מהדורה:1st ed. 2021.
סדרה:Green Energy and Technology,
נושאים:
גישה מקוונת:https://doi.org/10.1007/978-3-030-64751-3
פורמט: אלקטרוני ספר
תוכן הענינים:
  • 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.