Title of article :
Forecast of Climatologically Events Using Improved Grey Model (Case Study: Qazvin Province Climatology)
Author/Authors :
Karimi Khajehghiasi, Maryam Department of Industrial Engineering - Faculty of Industrial and Mechanical Engineering - Qazvin Branch - Islamic Azad University , Alinezhad, Alireza Department of Industrial Engineering - Faculty of Industrial and Mechanical Engineering - Qazvin Branch - Islamic Azad University
Abstract :
The theory of grey system is used when sufficient information
of the community under study is not in hand. The grey forecast
model is proper when the information variety is fix and certain. Grey
model can apply some additional computations to improve forecasting
activities when data is insufficient. Through using improved
grey model, the assessment error decreases significantly. This study
made use of the mean maximum daily temperature data collected
by Qazvin meteorological station, from August 2001 to August
2013. The findings revealed that the grey model metabolism method
can reduce errors and improve the precision of forecasting the mean
variable of maximum daily temperature
Keywords :
Forecast , Grey Model , Metabolism
Journal title :
Astroparticle Physics