TY - JOUR JF - IJAORLU JO - VL - 7 IS - 4 PY - 2017 Y1 - 2017/7/01 TI - Grey Prediction Model for Forecasting Electricity Consumption TT - N2 - 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. SP - 1 EP - 9 AU - Darvishi Salokolaei, D. AU - Babaei, P. AU - Liu, S. AD - Department of Mathematics, Payame Noor University, Tehran, Iran KW - Accuracy KW - Grey system theory KW - Forecasting KW - GM(1 KW - 1) model KW - DGM(2 KW - 1) model. UR - http://ijorlu.liau.ac.ir/article-1-566-en.html ER -