Data-driven modelling of non-domestic buildings energy performance : supporting building retrofit planning

Data-driven modelling of non-domestic buildings energy performance : supporting building retrofit planning / Saleh Seyedzadeh, Farzad Pour Rahimian.

This book outlines the data-driven modelling of building energy performance to support retrofit decision-making. 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 an...

Full description

Saved in:
Bibliographic Details
Main Authors: Seyedzadeh, Saleh (Author), Pour Rahimian, Farzad (Author)
Format: eBook
Language:English
Published: Cham, Switzerland : Springer, [2021]
Series:Green energy and technology,
Subjects:
Buildings > Energy conservation > Data processing.
Buildings > Retrofitting.
Buildings > Repair and reconstruction.
Green technology.
Sustainable architecture.
retrofitting.
Buildings > Energy conservation > Data processing
Buildings > Repair and reconstruction
Buildings > Retrofitting
Green technology
Sustainable architecture
Electronic books.
Online Access:Click for online access
Login for hold information

‌

Click for online access

Online

Holdings details from Online
Available

Similar Items