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The paper is concerned with the elimination of different trends existing in the time series representing the hourly power consumption in the power system of smali size. Analysing the hourly need for the power in such system we can observe significant trends associated with the season of the year, type of the day. as well as the particular hour of the day. At prediction task the variability of the...
The paper presents the method of daily air pollution forecasting by using support vector machine (SVM) and wavelet decomposition. The considerations are presented for the NO2, CO, SO2 and dust concentrations. The prediction is made on the basis of the past pollution observation as well as the meteorological parameters, like wind, temperature, humidity and pressure. We propose the forecasting approach,...
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