Advanced neural architecture , DMP-PCFC is an interpretable and accurate model for multi-step energy loads prediction in integrated energy systems,
or the broader task of time series forecasting.
Energy engineers and researchers can do so directly using the DMP-PCFC framework:
All data acquisition, preprocessing, loading, hyperparameters of the model, inference speed,
number of parameters and the rest of the relevant content about the experiment have been presented in the repository：
https://github.com/nuist-xf/DMP-PCFC
