Soft measure for power plant thermal parameter based on self adaptive SVR

There are some important factors impact the electric power plant to go to economic operation model,such as a lot of important technical parameters and economic parameters cannot be real-time measured.This paper presents a new soft-sensing model based on the Support Vector Regression(SVR).The new model gets the training parameter form training the data and it can reduce the effect of human factor to the model accuracy and advance the modeling efficiency and accuracy.The result of the simulation experiment with one electric power plant history true data shows that the method presented in this paper can achieve excellent soft-sensing for electric power plant thermal parameter and has great use value.