Power System Short-Term Load Forecasting Based on Multiple Proportions Smoothing Method

摘要

Aiming at the problem of short-term load forecasting in power system, this paper propose a load prediction method based on multiple proportions smoothing method. We perform multiple linear regression analysis and partial correlation analysis on the load with respect to the weather, and found the meteorological factors that are highly correlated with the power load. Then, we establish a primary power system short-term load forecasting model by using the ratio multiplication smoothing method.