Application of Association Rules Data Mining in the Determination the Operation Target Values in the Thermal Power Plant
Xiang Wan, Niansu Hu, Min Huo · Advances in intelligent systems research/Advances in Intelligent Systems Research · 2014
As the parameters from the thermal power plant DCS (Distributed Control System) data have closely relationships, the association rules data mining is tried to be applied in the determination the optimization values in the thermal power plant.A model is built by the mining tools Clementine 12.0 based on the GRI (generalized rule induction) algorithm.The analysis on the model shows that the values of controllable operating parameters can be determined in order to improve the thermal efficiency by data mining.Thus such method is helpful for the actual operation in the plant.