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

Dades bibliogràfiques
Autors principals: Seyedzadeh, Saleh (Autor), Pour Rahimian, Farzad (Autor)
Autor corporatiu: SpringerLink (Online service)
Sumari:XIV, 153 p. 48 illus. in color.
text
Idioma:anglès
Publicat: Cham : Springer International Publishing : Imprint: Springer, 2021.
Edició:1st ed. 2021.
Col·lecció:Green Energy and Technology,
Matèries:
Accés en línia:https://doi.org/10.1007/978-3-030-64751-3
Format: Electrònic Llibre
Taula de continguts:
  • 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.