Author:
Arakelyan E K,Boldyrev I A,Evseev K V,Gorban Y A
Abstract
Abstract
The paper is on the technical and economic performance optimization technique for thermal and power generating system using machine learning methods. The possibility of using regression analysis for parameter influence evaluation when calculating technical and economic performance in order to reach better generating unit efficiency is described. The approach to evaluate the parameter influence of a large distributed control system is presented.
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