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:: Volume 7, Issue 4 (7-2017) ::
2017, 7(4): 1-9 Back to browse issues page
Grey Prediction Model for Forecasting Electricity Consumption
D. Darvishi Salokolaei , P. Babaei, S. Liu
Department of Mathematics, Payame Noor University, Tehran, Iran
Abstract:   (2614 Views)
Accurate prediction of the future electricity consumption is crucial for production electricity management. Since the storage of electrical energy is very difficult, reliable and accurate prediction of power consumption is important. Different approaches for this purpose were used. In this paper, Grey model (1,1) based on grey system theory has been used for forecasting results. Annual electricity consumption and forecasting data in Mazandaran were used as our case study. Root mean squared error, Mean absolute error and Mean of average percentage error accuracy testing results show that GM(1,1) is outperformed compared with model fitting and model forecasting.
Keywords: Accuracy, Grey system theory, Forecasting, GM(1, 1) model, DGM(2, 1) model.
Full-Text [PDF 485 kb]   (316 Downloads)    
Type of Study: Research | Subject: Special
Received: 2017/05/11 | Accepted: 2017/09/2 | Published: 2017/07/19
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Darvishi Salokolaei D, Babaei P, Liu S. Grey Prediction Model for Forecasting Electricity Consumption. International Journal of Applied Operational Research. 2017; 7 (4) :1-9
URL: http://ijorlu.liau.ac.ir/article-1-566-en.html

Volume 7, Issue 4 (7-2017) Back to browse issues page
ژورنال بین المللی پژوهش عملیاتی International Journal of Applied Operational Research - An Open Access Journal
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