Abstract
As the rapid development of the power industry, the analysis and forecasting of large power companies in the power market is very important. It not only makes the distribution and operation of power more reasonable, but also greatly enhances the rationality of customer power consumption. Predictive analysis with power customers is critical. Based on the service side, the electricity consumption of enterprises in Guangdong Province was selected as the training sample, and the BP neural network-based prediction algorithm was selected to study and construct the enterprise electricity package model. The effective data of 695 enterprise electricity consumption was used for training and verification. Achieve accurate package design for enterprises with different power consumption.
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