• Corpus ID: 237386357

End-to-End Demand Response Model Identification and Baseline Estimation with Deep Learning

@article{Shi2021EndtoEndDR,
  title={End-to-End Demand Response Model Identification and Baseline Estimation with Deep Learning},
  author={Yuanyuan Shi and Bolun Xu},
  journal={ArXiv},
  year={2021},
  volume={abs/2109.00741}
}
  • Yuanyuan Shi, Bolun Xu
  • Published 2 September 2021
  • Computer Science, Engineering, Mathematics
  • ArXiv
This paper proposes a novel end-to-end deep learning framework that simultaneously identifies demand baselines and the incentive-based agent demand response model, from the net demand measurements and incentive signals. This learning framework is modularized as two modules: 1) the decision making process of a demand response participant is represented as a differentiable optimization layer, which takes the incentive signal as input and predicts user’s response; 2) the baseline demand forecast… 

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