An Ultra-Short Term Load Forecasting and Correction Method Based on Scheduling and Controlling Cloud Platform

Abstract

With the rapid development of the power grid, the safety, stability and economic benefits of the power grid are affected by the results of the ultra-short term load forecasting. The traditional ultra-short term load forecasting method can not meet the demand, therefore, it is urgent to improve the forecasting precision of the ultra-short term load forecasting. Industrial characteristics and changing trends are analyzed in this article, and the effects of various industrial factors have been systematically analyzed and studied. The method of ultra-short term load forecasting and correction based on regulating cloud platform is proposed. The load curve typical days is analyzed and calculated, and the predictive value of load forecasting is optimized, and measures to reduce the error between the predicted value and the actual value are proposed. The result of research shows that on the basis of ensuring the safety and stability of the power grid, waste on the future generation side is minimized by modifying the forecasting method of ultra-short term load forecasting, and the stable operation and economic operation of the power grid have been realized. It is of great significance to improve preventive control and emergency treatment in operation.