Prediction and scheduling for blast furnace gas generation based on time series feature extraction
Author:
Affiliation:
1. School of Automation, China University of Geosciences,Wuhan,China,430074
Funder
Hubei Provincial Natural Science Foundation of China
111 Project
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10127967/10127864/10128061.pdf?arnumber=10128061
Reference12 articles.
1. Performance-Driven Distributed PCA Process Monitoring Based on Fault-Relevant Variable Selection and Bayesian Inference
2. EMD-based multi-algorithm combination model of variable weights for oil well production forecast
3. A statistical training data cleaning strategy for the PCA-based chiller sensor fault detection, diagnosis and data reconstruction method
4. Use of a quantile regression based echo state network ensemble for construction of prediction Intervals of gas flow in a blast furnace
5. A novel multi-period mixed-integer linear optimization model for optimal distribution of byproduct gases, steam and power in an iron and steel plant
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