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• [P529] Forecasting of ozone concentration using frequency MA-OWA Model
  Author(s): Sue-Fn Huang
  
  

  Abstract
  This study proposed a frequency moving average - order weight average (MA-OWA) model to forecast air quality by daily concentration. Due to data is belong to time series pattern, MA can simple calculation and OWA operator can aggregate multiple lag periods into single aggregated value by different situation parameters ¦Á. Frequency MA-OWA based time series model can efficiently and accurately forecast. To demonstrate of the proposed, air quality monitoring the urban sites of Hsinchu (Taiwan), is selected for the numerical experiment from 2007 was utilized. From the results, the proposed methods outperform the listing methods in RMSE and MAPE.

  
   

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