The technique for increase of generating system technical and economic indexes evaluation accuracy using machine learning

This paper addresses the problem of thermal power plant generating unit efficiency evaluation accuracy increase. The comparison of classic regression analysis and artificial neural network regression approaches is described. The feasibility and reasonability of application of the machine learning te...

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Bibliographic Details
Published in:Journal of physics. Conference series 2020-12, Vol.1683 (4), p.42044
Main Authors: Arakelyan, E K, Boldyrev, I A, Evseev, K V, Sultanov, M M, Yurov, V A
Format: Article
Language:English
Subjects:
Accuracy
Artificial neural networks
Electric power generation
Machine learning
Performance indices
Performance prediction
Physics
Regression analysis
Thermal power plants
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Description
Summary:This paper addresses the problem of thermal power plant generating unit efficiency evaluation accuracy increase. The comparison of classic regression analysis and artificial neural network regression approaches is described. The feasibility and reasonability of application of the machine learning techniques for generating unit performance prediction and selecting most influential parameters on its efficiency evaluation accuracy are considered.
ISSN:1742-6588
1742-6596
DOI:10.1088/1742-6596/1683/4/042044