High Temperature Superheater Wall Temperature Prediction Method Based on ARLD-LSTM Recurrent Neural Network-Reference-Cited by-同舟云学术

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High Temperature Superheater Wall Temperature Prediction Method Based on ARLD-LSTM Recurrent Neural Network

Published:2022-12 Issue: Volume: Page:
ISSN:
Container-title:2022 4th International Conference on Electrical Engineering and Control Technologies (CEECT)
language:
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Author:

Zhu Kai¹,Mao Dajun¹,Tu Liyue²

Affiliation:

1. School of Automation Engineering, Shanghai University of Electric Power,Shanghai,China

2. Sino-German College, University of Shanghai for Science and Technology,Shanghai,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10030083/10030092/10030347.pdf?arnumber=10030347

Reference15 articles.

1. Research on the discrimination method of fuel ignition and combustion stability[J];chen;Boiler Technology,1993

2. Analysis of coal consumption characteristics of coal-fired units based on big data [J];minfang;Thermal Power Generation,2019

3. Operation mode and enlightenment of virtual power plant in energy Internet [J];wei;Electric Power Construction,2016

4. Research on decision-making method based on grey relational degree and ideal solution[J];xiaodong;China Management Science,0

5. Application of Fuzzy Mathematics in Evaluating Boiler Mixing Scheme[J];gang;Power Engineering,2008

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