期刊名称：IOP Conference Series: Earth and Environmental Science
印刷版ISSN：1755-1307
电子版ISSN：1755-1315
出版年度：2019
卷号：267
期号：6
页码：1-8
DOI：10.1088/1755-1315/267/6/062042
出版社：IOP Publishing
摘要：With the construction of smart grids, a large amount of equipment operating data and power consumption data have been accumulated in the national grid system. However, these data have not been fully utilized nor has their potential value been exerted. Based on the customer's historical electricity consumption data, this paper analyzes the customer's electricity usage behavior from different dimensions, and predicts the sales of electricity in different dimensions, which is used as a supplement to customer category information such as customer industry, electricity properties, scale and voltage level. This will help with refined management. In this paper, the gray model and time series method are used to predict the sales of electricity. Combined with the economic index analysis method and the adjustment of holiday factors, the forecast results of electricity sales are revised.
