Short-Term Load Forecasting With Deep Residual Networks

@article{Chen2019ShortTermLF,
  title={Short-Term Load Forecasting With Deep Residual Networks},
  author={Kunjin Chen and K. Chen and Qin Wang and Ziyu He and J. Hu and J. He},
  journal={IEEE Transactions on Smart Grid},
  year={2019},
  volume={10},
  pages={3943-3952}
}
We present in this paper a model for forecasting short-term electric load based on deep residual networks. The proposed model is able to integrate domain knowledge and researchers’ understanding of the task by virtue of different neural network building blocks. Specifically, a modified deep residual network is formulated to improve the forecast results. Further, a two-stage ensemble strategy is used to enhance the generalization capability of the proposed model. We also apply the proposed model… Expand
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