Chiller load prediction based on CEEMDAN-BiLSTM-Attention model for sufficient data and small sample data cases
Author:
Affiliation:
1. Wuhan University of Technology,School of Automation,Wuhan,China,430070
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10165684/10165785/10166047.pdf?arnumber=10166047
Reference22 articles.
1. A learning framework based on weighted knowledge transfer for holiday load forecasting
2. Suspended sediment concentration forecast based on CEEMDAN-GRU model
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