Short-term Power Load Forecasting Based on TCN-BiLSTM-Attention and Multi-feature Fusion
Author:
Funder
National Natural Science Foundation of China
Yunnan Power Grid Co., Ltd. Technology Project
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s13369-024-09351-5.pdf
Reference34 articles.
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4. Hu, R.; Wen, S.; Zeng, Z.; Huang, T.: A short-term power load forecasting model based on the generalized regression neural network with decreasing step fruit fly optimization algorithm. Neurocomputing 221, 24–31 (2017)
5. Lang, K.; Zhang, M.; Yuan, Y.; Yue, X.: Short-term load forecasting based on multivariate time series prediction and weighted neural network with random weights and kernels. Cluster Comput. 22, 12589–12597 (2018)
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