Physically Consistent Neural Networks for building thermal modeling: Theory and analysis-Reference-Cited by-同舟云学术

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Physically Consistent Neural Networks for building thermal modeling: Theory and analysis

Published:2022-11 Issue: Volume:325 Page:119806
ISSN:0306-2619
Container-title:Applied Energy
language:en
Short-container-title:Applied Energy

Author:

Di Natale L.^ORCID,Svetozarevic B.^ORCID,Heer P.^ORCID,Jones C.N.

Funder

Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Mechanical Engineering,General Energy,Building and Construction

Reference73 articles.

1. Tracking buildings 2020;International Energy Agency (IEA),2020

2. Factsheet: The energy performance of buildings directive;European Commission (EC),2019

3. Energy consumption in households;Eurostat, statistics explained,2020

4. Paris agreement to the united nations framework convention on climate change;United Nations Framework Convention on Climate Change (UNFCCC),2015

5. Surrogate modelling for sustainable building design–a review;Westermann;Energy Build,2019

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