NOx prediction of gas turbine based on Dual Attention and LSTM

Author:

Guo Lijin1,Zhang Shaojie1,Huang Qilan1

Affiliation:

1. Tiangong University,College of Control Science and Engineering,Tianjin,300387

Funder

Nature

Publisher

IEEE

Reference18 articles.

1. GRU neural network security situation prediction method based on attention mechanism[J];he;Systems engineering and electronic technology,2021

2. NO_(x) mass concentration prediction based on feature optimization and improved long-short-term memory neural network[J];liu;Thermal Power Generation,2021

3. Feature selection algorithm based on LightGBM[J];li;Journal of Northeastern University (Natural Science),2021

4. Prediction of full load electrical power output of a base load operated combined cycle power plant using machine learning methods

5. Predicting CO and NOxemissions from gas turbines: novel data and abenchmark PEMS

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1. Tabular Machine Learning Methods for Predicting Gas Turbine Emissions;Machine Learning and Knowledge Extraction;2023-08-14

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