A short-term load forecasting method considering multiple feature factors based on long short-term memory and an improved temporal convolutional network

Yu Mu, Lingrui Kong, Guoqiang Zheng, Zhonge Su, Guodong Wang. A short-term load forecasting method considering multiple feature factors based on long short-term memory and an improved temporal convolutional network. Eng. Appl. of AI, 159:111649, 2025. [doi]

@article{MuKZSW25,
  title = {A short-term load forecasting method considering multiple feature factors based on long short-term memory and an improved temporal convolutional network},
  author = {Yu Mu and Lingrui Kong and Guoqiang Zheng and Zhonge Su and Guodong Wang},
  year = {2025},
  doi = {10.1016/j.engappai.2025.111649},
  url = {https://doi.org/10.1016/j.engappai.2025.111649},
  researchr = {https://researchr.org/publication/MuKZSW25},
  cites = {0},
  citedby = {0},
  journal = {Eng. Appl. of AI},
  volume = {159},
  pages = {111649},
}