Title :
Forecasting model of charging load for electric vehicle based on mean test
Author :
Hui Zhou ; Qingzhu Chen ; Rong Cong
Author_Institution :
Sch. of Electr. Eng., Beijing Jiaotong Univ., Beijing, China
fDate :
Aug. 31 2014-Sept. 3 2014
Abstract :
For economic operation of distribution system with charging stations, forecasting of charging load becomes important. Based on the load data from charging posts, the first step is to distinguish whether the time sequence is stationary or non-stationary. Then with theory of time series analysis, the dynamic model is properly constructed and is used in forecasting after the model is verified to meet various statistic test requirements. To improve precision of the forecasting model, data are divided into two sets based on mean test. The results demonstrate that forecasting model based on the grouped data is better than that of the ungrouped data.
Keywords :
electric vehicles; load forecasting; power distribution economics; power distribution planning; secondary cells; charging load forecasting model; charging station; distribution system economic operation; electric vehicle; load data; mean test; Correlation; Electric vehicles; Fitting; Forecasting; Load modeling; Predictive models; Time series analysis; Analysis of Times Sequence; Charging load; Electric Vehicles; Forecasting Model; Mean Test;
Conference_Titel :
Transportation Electrification Asia-Pacific (ITEC Asia-Pacific), 2014 IEEE Conference and Expo
Conference_Location :
Beijing
Print_ISBN :
978-1-4799-4240-4
DOI :
10.1109/ITEC-AP.2014.6940635
