FBiLSTM-Attention short-term load forecasting based on fuzzy logic

FBiLSTM-Attention short-term load forecasting based on fuzzy logic

Aiming at the problem of high uncertainty in power load data due to various factors, a fuzzy logic based FBiLSTM Attention short-term load forecasting model was proposed by combining the uncertainty of load data with deep learning algorithms to improve the accuracy of load forecasting. Firstly, the...

Szczegółowa specyfikacja

Opis bibliograficzny
Główni autorzy: Yan ZHANG, Zepeng KANG, Xiaozhi GAO, Nan YANG, Zhaolei WANG
Format: Artykuł
Język:zho
Wydane: Hebei University of Science and Technology 2025-02-01
Seria:Journal of Hebei University of Science and Technology
Hasła przedmiotowe:
data processing; fuzzy logic; load forecasting; bi-directional long short-term memory(bilstm); attention mechanism(attention)
Dostęp online:https://xuebao.hebust.edu.cn/hbkjdx/article/pdf/b202501005?st=article_issue

Internet

https://xuebao.hebust.edu.cn/hbkjdx/article/pdf/b202501005?st=article_issue

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