Dense Residual LSTM-Attention Network for Boiler Steam Temperature Prediction with Uncertainty Analysis
Author:
Affiliation:
1. State Key Laboratory of Fluid Power and Mechatronic Systems and School of Mechanical Engineering, Zhejiang University, Hangzhou 310027, China
Funder
National Natural Science Foundation of China
Natural Science Foundation of Zhejiang Province
Publisher
American Chemical Society (ACS)
Subject
General Chemical Engineering,General Chemistry
Link
https://pubs.acs.org/doi/pdf/10.1021/acsomega.2c00615
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