Dynamic Data Reconciliation for Improving the Prediction Performance of the Data-Driven Model on Distributed Product Outputs
Author:
Affiliation:
1. Institute of Process Equipment and Control Engineering, Zhejiang University of Technology, Hangzhou310023, China
2. National-Local Joint Engineering Laboratory for Digitalize Electrical Design Technology, Wenzhou University, Wenzhou325035, China
Funder
National Natural Science Foundation of China
Fundamental Research Funds for the Provincial Universities of Zhejiang
Publisher
American Chemical Society (ACS)
Subject
Industrial and Manufacturing Engineering,General Chemical Engineering,General Chemistry
Link
https://pubs.acs.org/doi/pdf/10.1021/acs.iecr.2c02536
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