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. The proposed definitions are evaluated by means of an application to the prediction of nitrogen dioxide concentration in Venezia-Mestre.
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Mantovan, P., Pastore, A. (2004). Flexible Dynamic Regression Models for Real-time Forecasting of Air Pollutant Concentration. In: Bock, HH., Chiodi, M., Mineo, A. (eds) Advances in Multivariate Data Analysis. Studies in Classification, Data Analysis, and Knowledge Organization. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-17111-6_22
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DOI: https://doi.org/10.1007/978-3-642-17111-6_22
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