Short-term Forecast Technology in Load of Electrified Railway based on Wavelet-extreme Learning Machine

With the development of economy and the progress of science, the proportion of electrified railway load in the power gird has been keeping on increasing, which impacts the short-term forecasting in load a lot, therefore, it is very important to analyze short-term load of electrified railway forecasting. This paper analyzes the power gird load-forecasting considering the influence of the electrified railway load, and introduces wavelet mechanism for data processing based on the research of electrified railway load. The wavelet-extreme learning machine algorithm is proposed and used in the short-term forecast in load of electric railway on the platform of MATLAB. The application in the local electric power company indicates that the wavelet-extreme learning mechanism model has the features of accurate prediction, quick response, and strong practicability.