Abstract:Due to the special events, the monthly electricity sales change greatly, which will lead the real electricity sales curve to the obvious deviation from the typical electricity sales curve. However the predicted electricity sales curve obtained by traditional forecast model without the special events considered is more like the typical electricity sales curve. The forecast accuracy of electricity sales decreased inevitably. In order to solve the problem, this paper took the abnormal high temperature, political events and super typhoon as an example to analyze the influence of special events on the monthly electricity sales and its forecast. Firstly, the forecast model of electricity sales based on big data in the background of internet + was introduced and its forecast accuracy was test. Then, the special events are described in three special events, such as abnormal high temperature, political events and super typhoon. The effect of special events on electricity sales was verified with real monthly electricity sales. The impact of special events on electricity sales forecast was researched by the forecast model and the reasons for this impact were analyzed. On this basis, the corresponding initial improvement methods were put forward for different special events.