Proceedings of the 2017 6th International Conference on Energy and Environmental Protection (ICEEP 2017)

Prediction of NOX Emission from Coal - fired Boiler Based on RF - GBDT

Authors
Liangming Gui, Yongjun Xia, Haishan Li, Peng Tan, Shangzhi Zhang, Cheng Zhang
Corresponding Author
Liangming Gui
Available Online June 2017.
DOI
10.2991/iceep-17.2017.61How to use a DOI?
Keywords
NOx prediction; random forest (RF); gradient lift decision tree (GBDT); coal fired boiler
Abstract

A NOX emission forecasting model was established for a supercritical 660MW unit boiler combined with random forest (RF) and gradient lift decision tree (GBDT) algorithm. The steady-state working point of the historical data is screened from the SIS system of the power plant. The feature feature of the RF model is used to filter the data characteristics, and the GBDT model for predicting NOX emission is established with the selected feature as the input variable. The comparison with support vector machine (SVM), RF and other models shows that RF-based feature selection can improve model performance. Compared with other models, RF-GBDT has the highest prediction accuracy of NOX emission.

Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2017 6th International Conference on Energy and Environmental Protection (ICEEP 2017)
Series
Advances in Engineering Research
Publication Date
June 2017
ISBN
10.2991/iceep-17.2017.61
ISSN
2352-5401
DOI
10.2991/iceep-17.2017.61How to use a DOI?
Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Liangming Gui
AU  - Yongjun Xia
AU  - Haishan Li
AU  - Peng Tan
AU  - Shangzhi Zhang
AU  - Cheng Zhang
PY  - 2017/06
DA  - 2017/06
TI  - Prediction of NOX Emission from Coal - fired Boiler Based on RF - GBDT
BT  - Proceedings of the 2017 6th International Conference on Energy and Environmental Protection (ICEEP 2017)
PB  - Atlantis Press
SP  - 344
EP  - 350
SN  - 2352-5401
UR  - https://doi.org/10.2991/iceep-17.2017.61
DO  - 10.2991/iceep-17.2017.61
ID  - Gui2017/06
ER  -