Prediction of SOx–NOx emission from a coal-fired CFB power plant with machine learning: Plant data learned by deep neural network and least square support vector machine

Author:

Adams Derrick,Oh Dong-Hoon,Kim Dong-Won,Lee Chang-Ha,Oh Min

Funder

Agency for Defense Development

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering,Strategy and Management,General Environmental Science,Renewable Energy, Sustainability and the Environment

Reference65 articles.

1. On efficient tuning of LS-SVM hyper-parameters in short-term load forecasting: a comparative study;Afshin,2007

2. A review on applications of ANN and SVM for building electrical energy consumption forecasting;Ahmad;Renew. Sustain. Energy Rev.,2014

3. A novel approach to predictive condition monitoring and knowledge management in power systems;Akhrarov,2007

4. ANN based optimization of supercritical ORC-Binary geothermal power plant: simav case study;Arslan,2011

5. SVM regression parameters optimization using parallel global search algorithm;Barkalov,2013

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