a novel framework based on a physics-informed neural network dubbed as PhysCon that combines the interpretable ability of physical laws and the expressive power of neural networks for control-oriented demand response of grid-integrated buildings.
More descriptions and explanations of this repository will provide soon.
We thanks for Dr. Gargya Gokhale providing the basic code source of the PINNs structure.