A Prediction Method for Power Metering Materials Based on Cumulative Sum Difference

In response to the problem of poor compatibility in data processing in existing technologies, which cannot handle long-term, non-stationary, and nonlinear data well, resulting in unsatisfactory prediction performance, this paper provides a method, system, medium, and processor for predicting power material consumption based on cumulative and differential analysis. By deeply analyzing the historical data characteristics of power material consumption, preprocessing and cumulative calculation of data can be carried out to achieve accurate prediction of future power material consumption.