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

Research article (Applied Energy, 2022) · cited 131× · AI/ML
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Physically Consistent Neural Networks for building thermal modeling: Theory and analysis

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Physically Consistent Neural Networks for building thermal modeling: Theory and analysis is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Physically Consistent Neural Networks for building thermal modeling: Theory and analysis. Retrieved May 24, 2026, from https://4ort.xyz/entity/physically-consistent-neural-networks-for-building-thermal-modeling-theory-and-analysis
MLA “Physically Consistent Neural Networks for building thermal modeling: Theory and analysis.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/physically-consistent-neural-networks-for-building-thermal-modeling-theory-and-analysis.
BibTeX @misc{4ortxyz_physically-consistent-neural-networks-for-building-thermal-modeling-theory-and-analysis_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Physically Consistent Neural Networks for building thermal modeling: Theory and analysis}}, year = {2026}, url = {https://4ort.xyz/entity/physically-consistent-neural-networks-for-building-thermal-modeling-theory-and-analysis}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Physically Consistent Neural Networks for building thermal modeling: Theory and analysis — https://4ort.xyz/entity/physically-consistent-neural-networks-for-building-thermal-modeling-theory-and-analysis (retrieved 2026-05-24)

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