Application of hybrid model in daily peak power load prediction problem

The problem of prediction of Pmax and Pmin of power daily load is one of fundamental tasks in power system operation and control. There are already a number of different models and solutions including linear and non-linear estimators in order to be able to model the complex dependencies between future power daily loads and the data from the past. The Singular Value Decomposition algorithm will be used to estimate the linear relationship between signals where the classic neural network MLP will be used to estimate the non-linear features. The proposed solution was test on real data taken from Thai Nguyen Power Company.