Analysis of Jiangxi's Whole Industry Power Load Prediction Based on LSM,Grey Prediction and BP Neural Network

The promotion of the "dual carbon" goal and the construction of a new power system have led to an increase in the proportion of new energy output in the power system, and increased volatility and uncertainty in the power system. Therefore, it is increasingly important to adopt a reasonable method for predicting and analyzing power loads. This article combines the conventional methods of LSM and grey prediction with the BP neural network method to predict and analyze the power load level of the entire industry in Jiangxi Province from 2023 to 2025, and compares different prediction methods, providing appropriate suggestions for the development of the power industry in Jiangxi Province.