DocumentCode :
2597894
Title :
The characteristic analysis and forecasting of mid-long term load based on spatial autoregressive model
Author :
Cai, Guowei ; Yang, Deyou ; Jiao, Ying ; Pan, Chao
Author_Institution :
Sch. of Electr. Eng., Northeast Dianli Univ., Jilin, China
fYear :
2009
fDate :
6-7 April 2009
Firstpage :
1
Lastpage :
5
Abstract :
Using spatial autoregressive model, the spatial characteristic between power demand and GDP is analyzed in this paper. And the combination model of forecasting in which the spatial characteristic between power requirement was considered is established. Simulations results show the distinct spatial dependence between power requirement and GDP, and the dependence between power requirements and GDP is very strongly in space. The forecasting results show the error of the combination model of forecasting which was established in this paper is very small. Besides the combination model proposed in this paper is a effective forecasting method because of its strong adaptability.
Keywords :
autoregressive processes; economic indicators; load forecasting; characteristic analysis; mid-long term load forecasting; power demand; power requirement; spatial autoregressive model; Chaos; Demand forecasting; Econometrics; Economic forecasting; Economic indicators; Load forecasting; Power demand; Power generation economics; Power system modeling; Predictive models; Moran I; load characteristic; power demand; spatial autoregressive model;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Sustainable Power Generation and Supply, 2009. SUPERGEN '09. International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4244-4934-7
Type :
conf
DOI :
10.1109/SUPERGEN.2009.5347946
Filename :
5347946
Link To Document :
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