A spectrum comparison method for demand forecasting
نویسندگان
چکیده
Almost all demand forecasting methods work in the time domain. We describe a method that operates in the frequency domain. Using discrete Fourier transform, we decompose a given set of demand data into a set of sine and cosine functions. The Fourier coefficients contain information about the frequencies and amplitudes in these sinusoids and allow us to reconstruct the original given demand data without loss. Assuming that the frequency components in the original demand data set do not change, we can use a time vector with one additional time unit to predict the next demand data point.
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تاریخ انتشار 2009