关键词: 燃气轮机,功率预测,支持向量回归,多变量回归

Abstract: Forecasting for the next few hours of the gas turbine power is the key to predict trips,while the domestic related researches are still few．Though using support vector regression(SVR) model,and integration of multivariate forecasting,it improves the accuracy of the forecasts．These experimental data from the real data of a power plant,through some comparative experiments,describes the experimental procedure and selection methods of important parameters in detail．The results verify the effectiveness of the support vector regression techniques applied to practical power prediction.

Key words: Gas turbine,Power prediction,SVR,Multivariate regression