Design of users' electricity purchase packages for electricity sales companies in the electricity market

被引：0

作者：

Wu, S. Q. ^{[1
]}

Jiang, Y. Z. ^{[1
]}

Jing, Z. X. ^{[1
]}

Chen, Z. Y. ^{[1
]}

机构：

[1] South China Univ Technol, Sch Elect Power, Guangzhou 510641, Guandong Provin, Peoples R China

来源：

2019 INTERNATIONAL CONFERENCE ON NEW ENERGY AND FUTURE ENERGY SYSTEM | 2019年 / 354卷

关键词：

D O I：

10.1088/1755-1315/354/1/012087

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

摘要：

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.

引用

页数：7