Title :
Forecasting Study on the Power of Jiangsu Province by GM(1,1) Model Based on Quadratic Interpolation
Author_Institution :
Feidong Power Supply Co., Hefei, China
Abstract :
Jiangsu province, the eastern coastal province with rapid economic development and high demand for electricity, power prediction seems very important. In this paper, we start from the current situation of electric power needs in Jiangsu province, a large number of historical data in Jiangsu province are taken as analytical basis, and gray model is used to forecast electricity consumption in Jiangsu province. Quadratic interpolation is used to reconstruct the background value, whereas least square method is conduct to improve the initial value in the forecasting formula. Finally, the improved methods are used to make a short-term forecast.
Keywords :
grey systems; interpolation; least squares approximations; load forecasting; power consumption; GM(1,1) model; Jiangsu Province; electricity consumption forecasting; gray model; least square method; power forecasting study; power prediction; quadratic interpolation; short-term forecasting; Accuracy; Biological system modeling; Data models; Electricity; Industries; Mathematical model; Predictive models;
Conference_Titel :
Wireless Communications Networking and Mobile Computing (WiCOM), 2010 6th International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-3708-5
Electronic_ISBN :
978-1-4244-3709-2
DOI :
10.1109/WICOM.2010.5600179
