DocumentCode
2792465
Title
Prediction of rural electricity consumption based on Grey-Markov model
Author
Zhou, Lihua ; Xie, Daowen
Author_Institution
Lab. Center of Foreign Studies Sch., Hunan Univ. of Sci. & Technol., Xiangtan, China
fYear
2011
fDate
15-17 July 2011
Firstpage
525
Lastpage
528
Abstract
Along with the rapidly developing rural economy and the change of people´s consumption concept, rural electricity consumption increased rapidly. The scientific prediction for rural electricity consumption is the decision-making basis and guarantee for plan in the next reconstruction of rural distribution network. There are many common prediction methods, which has its own relative merits and disadvantages. In this paper, Grey-Markov model is applied to predict rural electricity consumption. And the result shows that this predictive method has better precision and it is practical. The paper provided a scientific basis for the planned development of rural power system.
Keywords
Markov processes; decision making; distribution networks; grey systems; load forecasting; power consumption; Grey-Markov Model; decision making; rural distribution network; rural economy; rural electricity consumption prediction; rural power system; Analytical models; Data models; Electricity; Forecasting; Markov processes; Mathematical model; Predictive models; GM(1,1) model; GM(1,1)-Markov model; Prediction for rural electricity consumption;
fLanguage
English
Publisher
ieee
Conference_Titel
Mechanic Automation and Control Engineering (MACE), 2011 Second International Conference on
Conference_Location
Hohhot
Print_ISBN
978-1-4244-9436-1
Type
conf
DOI
10.1109/MACE.2011.5986976
Filename
5986976
Link To Document