A data-driven framework for characterising building archetypes: A mixed effects modelling approach-Reference-Cited by-同舟云学术

A data-driven framework for characterising building archetypes: A mixed effects modelling approach

Published:2022-09 Issue: Volume:254 Page:124278
ISSN:0360-5442
Container-title:Energy
language:en
Short-container-title:Energy

Author:

Palmer Real Jaume^ORCID,Møller Jan Kloppenborg,Li Rongling,Madsen Henrik

Publisher

Elsevier BV

Subject

General Energy,Pollution,Mechanical Engineering,Building and Construction,Electrical and Electronic Engineering,Industrial and Manufacturing Engineering,Civil and Structural Engineering

Reference36 articles.

1. Measures to improve energy demand flexibility in buildings for demand response (DR): a review;Chen,2018

2. Review of urban building energy modeling (UBEM) approaches, methods and tools using qualitative and quantitative analysis;Ali,2021

3. A data-driven approach for multi-scale building archetypes development;Ali,2019

4. Characterisation of thermal energy dynamics of residential buildings with scarce data". English;Palmer,2021

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