Determination of features for air pollution forecasting models

The Sostanj coal-fired Thermal Power Plant (STPP) is a major regional source of SO2. To monitor air pollution around the STPP a modern environmental information system was built, which measures ambient concentrations of SO2 and meteorological parameters. AN data are collected at half hour intervals, Harmful air pollution and environmental legislation are the major reasons why the STPP needs to have a reliable short-term air pollution forecasting model. Such a short-term air pollution model should forecast half hour average concentrations of SO2 at the measuring points for up to 2 hours in advance, One of the most important tasks in building such a model is determining the features, This work presents several algorithms for feature reduction, all of them based on the case of SO2 forecasting at particular measuring stations of the Environmental Information System of the STPP.