• Corpus ID: 244908748

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

@article{Natale2021PhysicallyCN,
  title={Physically Consistent Neural Networks for building thermal modeling: theory and analysis},
  author={Loris Di Natale and Bratislav Svetozarevic and Philipp Heer and Colin Neil Jones},
  journal={ArXiv},
  year={2021},
  volume={abs/2112.03212}
}
Due to their high energy intensity, buildings play a major role in the current worldwide energy transition. Building models are ubiquitous since they are needed at each stage of the life of buildings, i.e. for design, retrofitting, and control operations. Classical white-box models, based on physical equations, are bound to follow the laws of physics but the specific design of their underlying structure might hinder their expressiveness and hence their accuracy. On the other hand, black-box… 
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