Hybrid Method for Forecasting Next Values of Time Series for Intelligent Building Control
The method for forecasting successive values of time series with the application of Artificial Neural Networks and Moving Window Fourier takes into account additional parameters. Such parameters are determined by an external observer based on an analysis of the accuracy of forecasts obtained. For the purpose of automating the above method, a parameter selection module based on decision trees has been proposed. In this way the Hybrid Method for Forecasting (HMF) successive values of time series has been created.
KeywordsArtificial neuron networks FFT Forecasting Successive values of a time series Moving Window Fourier Environmental measurements in an intelligent building
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