Modeling and Analyzing of Energy Consumption Characteristics of Gas Turbine Unit Based on Data Mining
Aimed at the modeling problem of the energy consumption characteristics of the gas-steam combined cycle unit of Banshan Company.A least squares support vector machine(LSSVM)model is proposed for modeling and analyzing the energy consumption characteristics of gas turbine,waste heat boiler and steam turbine,respectively.To solve the problem of determi-ning LSSVM kernel parameters and penalty factors,the fruit flying optimization algorithm(FOA)is used for global optimiza-tion to improve the accuracy of the model.Tests are carried out based on the actual energy consumption data of the unit.The results show that the average error between the predicted energy consumption of the proposed method and the actual operation value is less than 2%,which can meet the actual application requirements and has a higher application prospect.
energy consumption analysisgas-steam combined cycle unitleast squares support vector machinefruit flying op-timization algorithm