Physics Informed Neural Networks for Control Oriented Thermal Modeling of Buildings
@article{Gokhale2022PhysicsIN, title={Physics Informed Neural Networks for Control Oriented Thermal Modeling of Buildings}, author={Gargya Gokhale and Bert Claessens and Chris Develder}, journal={ArXiv}, year={2022}, volume={abs/2111.12066} }
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Physically Consistent Neural Networks for building thermal modeling: theory and analysis
- Computer ScienceArXiv
- 2021
This work presents a novel physics-informed NN architecture, dubbed Physically Consistent NN (PCNN), which only requires past operational data and no engineering overhead, including prior knowledge in a linear module running in parallel to a classical NN.
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