The application of the dynamic regression model to real-time forecasting of air pollutant concentration points out some problems due to both the high frequency of sampling and the need of many-step-ahead forecasting. Some flexible definitions of the system equation are proposed to solve these problems. An evaluation of the proposed definitions are evaluated by means of an application to a forecasting model of nitrogen dioxide.
Flexible dynamic regression models for real-time forecasting of air pollutant concentration
MANTOVAN, Pietro;PASTORE, Andrea
2004-01-01
Abstract
The application of the dynamic regression model to real-time forecasting of air pollutant concentration points out some problems due to both the high frequency of sampling and the need of many-step-ahead forecasting. Some flexible definitions of the system equation are proposed to solve these problems. An evaluation of the proposed definitions are evaluated by means of an application to a forecasting model of nitrogen dioxide.
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