Short-term electrical load forecasting based on multi-granularity time augmented learning
Author:
Funder
the national key research and development program.
he Humanities and Social Sciences Planning Fund of the Ministry of Education
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s00202-024-02698-w.pdf
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4. Zheng J, Xu C, Zhang Z, et al (2017) Electric load forecasting in smart grids using long- short-term-memory based recurrent neural network. In: 2017 51st annual conference on information sciences and systems (CISS), IEEE, pp 1–6, https://doi.org/10.1109/CISS.2017.7926112
5. Ding Y, Zhu Y, Feng J et al (2020) Interpretable spatio-temporal attention LSTM model for flood forecasting. Neurocomputing 403:348–359. https://doi.org/10.1016/j.neucom.2020.04.110
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