DocumentCode
2440948
Title
Analysis of Electricity Demand Forecasting in Inner Mongolia Based on Gray Markov Model
Author
Dongxiao Niu ; Yanan Wei ; Jianqing Li ; Cong Xu ; Junfang Wu
Author_Institution
Sch. of Bus. Manage., Univ. of North China Electr. Power, Beijing, China
fYear
2010
fDate
7-9 May 2010
Firstpage
5082
Lastpage
5085
Abstract
Accurate electricity demand forecasting is the foundation of power system operation and planning, the basic of placing development plans, business strategy and tactics of the power companies. Electricity consumption is a gray system which is impacted by economic development, industrial structure, income levels and national policies. The paper counted Inner Mongolia electricity data from four factors, used the gray model GM (1, n) to predict, established Markov model from the percentage of relative deviation δ of the fitted value and actual value, and revised forecast values obtained from gray model. At last, the paper predicted the demand for electric power industry in Inner Mongolia by gray Markov model.
Keywords
Gaussian processes; Markov processes; load forecasting; power consumption; power system economics; power system planning; Gaussian model; business strategy; development plans; economic development; electric power industry; electricity consumption; electricity demand forecasting; gray Markov model; income levels; industrial structure; inner Mongolia electricity data; national policies; power companies; power system operation; power system planning; Biological system modeling; Electricity; Industries; Markov processes; Mathematical model; Power systems; Predictive models; Markov prediction model; consumption of electricity in Inner Mongolia; gray model; prediction;
fLanguage
English
Publisher
ieee
Conference_Titel
E-Business and E-Government (ICEE), 2010 International Conference on
Conference_Location
Guangzhou
Print_ISBN
978-0-7695-3997-3
Type
conf
DOI
10.1109/ICEE.2010.1275
Filename
5592892
Link To Document