Model order reduction of building energy simulation models using a convolutional neural network autoencoder-Reference-Cited by-同舟云学术

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Model order reduction of building energy simulation models using a convolutional neural network autoencoder

Published:2022-01 Issue: Volume:207 Page:108498
ISSN:0360-1323
Container-title:Building and Environment
language:en
Short-container-title:Building and Environment

Author:

Banihashemi Farzan^ORCID,Weber Manuel,Lang Werner^ORCID

Publisher

Elsevier BV

Subject

Building and Construction,Geography, Planning and Development,Civil and Structural Engineering,Environmental Engineering

Reference31 articles.

1. Deutsche Energie-Agentur, dena-Gebäudereport 2021 – Fokusthemen zum Klimaschutz im Gebäudebereich.

2. Effectiveness of Passive Climate Adaptation Measures in Residential Buildings in Germany;Banihashemi,2017

3. Trnsys, a Transient System Simulation Program;Klein,2012

4. EnergyPlus: energy simulation Program;Crawley;ASHRAE J.,2000

5. Kalamees T. IDA ICE: the Simulation Tool for Making the Whole Building Energy- and HAM Analysis 2004.

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