Corpus ID: 236447354

Short-Term Electricity Price Forecasting based on Graph Convolution Network and Attention Mechanism

@article{Yang2021ShortTermEP,
  title={Short-Term Electricity Price Forecasting based on Graph Convolution Network and Attention Mechanism},
  author={Yuyun Yang and Zhenfei Tan and Haitao Yang and Guangchun Ruan and Haiwang Zhong},
  journal={ArXiv},
  year={2021},
  volume={abs/2107.12794}
}
In electricity markets, locational marginal price (LMP) forecasting is particularly important for market participants in making reasonable bidding strategies, managing potential trading risks, and supporting efficient system planning and operation. Unlike existing methods that only consider LMPs’ temporal features, this paper tailors a spectral graph convolutional network (GCN) to greatly improve the accuracy of short-term LMP forecasting. A three-branch network structure is then designed to… Expand

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