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- W2897708311 abstract "This paper presents an Elman model based prediction of power generation of top gas pressure recovery turbine(TRT). The TRT is an energy saving system widely used in steel mill and power prediction which is essential for overall equipment efficiency. Since TRT is a complex nonlinear system with time-delay, Elman neural network is used to predict its power generation. Firstly, several variables were selected through model analysis. Data from production scene are selected according to these variables. Then, the prediction model of Elman neural network is established and trained with processed data. Finally, the Elman prediction model is compared other models and is proved to have a better performance in power generation forecast of TRT." @default.
- W2897708311 created "2018-10-26" @default.
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- W2897708311 date "2018-07-01" @default.
- W2897708311 modified "2023-09-24" @default.
- W2897708311 title "Power Generation Forecast of Top Gas Recovery Turbine Unit Based on Elman Model" @default.
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- W2897708311 doi "https://doi.org/10.23919/chicc.2018.8483666" @default.
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