Name
Title | ||
|---|---|---|
Demand Forecasting of the Fused Magnesia Smelting Process With System Identification and Deep Learning |
Abstract | ||
|---|---|---|
The electricity demand of the fused magnesia smelting process (FMSP) is defined as the average electric power consumption over a fixed period of time, which is used to monitor the electricity cost in the FMSP. In this article, we develop a dynamic model of the electricity demand based on the closed-loop control system of the smelting current in the FMSP. The electricity demand prediction model com... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/TII.2021.3065930 | IEEE Transactions on Industrial Informatics |
Keywords | DocType | Volume |
Smelting,Nonlinear dynamical systems,Monitoring,Predictive models,Demand forecasting,Deep learning,Process control | Journal | 17 |
Issue | ISSN | Citations |
12 | 1551-3203 | 0 |
PageRank | References | Authors |
0.34 | 0 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Tianyou Chai | 1 | 2014 | 175.55 |
| Jingwen Zhang | 2 | 9 | 8.33 |
| Tao Yang | 3 | 160 | 76.32 |