Are years-long field studies about window operation efficient? a data-driven approach based on information theory and deep learning-Reference-Cited by-同舟云学术

Are years-long field studies about window operation efficient? a data-driven approach based on information theory and deep learning

Published:2022-08 Issue: Volume:268 Page:112197
ISSN:0378-7788
Container-title:Energy and Buildings
language:en
Short-container-title:Energy and Buildings

Author:

Bavaresco Mateus^ORCID,Kousis Ioannis,Pigliautile Ilaria^ORCID,Laura Pisello Anna,Piselli Cristina^ORCID,Ghisi Enedir^ORCID

Funder

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Mechanical Engineering,Building and Construction,Civil and Structural Engineering

Reference84 articles.

1. GABC, 2019 Global Status Report: Towards a zero-emission, efficient and resilient buildings and construction sector, International Energy Agency, 2019. https://www.unenvironment.org/resources/publication/2019-global-status-report-buildings-and-construction-sector.

2. An ontology to represent energy-related occupant behavior in buildings;Hong;Part I: Introduction to the DNAs framework, Building and Environment.,2015

3. The dark side of occupants’ behaviour on building energy use;Masoso;Energy and Buildings.,2010

4. The impact of occupants’ behaviours on building energy analysis: A research review;Delzendeh;Renewable and Sustainable Energy Reviews.,2017

5. IEA EBC Annex 66: Definition and simulation of occupant behavior in buildings;Yan;Energy and Buildings.,2017

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Exploring office comfort and productivity in living labs: A yearlong structural equation modeling study;Building and Environment;2024-02

2. A critical review of occupant energy consumption behavior in buildings: How we got here, where we are, and where we are headed;Renewable and Sustainable Energy Reviews;2023-08

3. Exploring Office Comfort and Productivity in Living Labs: A Yearlong Structural Equation Modeling Study;2023