Design of a Fuzzy Linear Regression Model for Forecasting Transport Energy Demand: a case study of Iran
oleh: Mohammad Reza Taghizadeh Yazdi, Hamed Shakouri Ganjavi, Mohammad Bagher Menhaj, Mohammad Reza Mehregan, Aliyeh Kazemi
| Format: | Article |
|---|---|
| Diterbitkan: | University of Tehran 2014-03-01 |
Deskripsi
In this paper, the energy demand of transport sector from 1385 to 1400 is forecasted based on Fuzzy Linear Regression (FLR) approach considering economic and social indicators. In order to analyze the influence of economic and social indicators on energy demand of transport sector, Gross Domestic Product (GDP), population and the total number of vehicles in 1372-1384 were regarded. In this research, the energy consumption may achieve a level of 625 MBOE per year by 1400.The results compared with the multiple regression method reveal much less mistakes. The average absolute error percentage reached from 12.33 % to 5.72 %.