Báo Cáo The time series forecasting powerflow Using Wavelet Toolbox on Matlab

The time series forecasting powerflow Using Wavelet Toolbox on Matlab


Abstract​
—The history of wavelets is not very old, at most 15 to 25 years. Wavelet transforms, in their different guises, have come to be accepted as a set of tools useful for various applications. Recently, wavelets were determined to be the best way to compress a huge library of fingerprints. Wavelet analysis is capable of revealing aspects of data that other signal analysis techniques miss, aspects like trends, breakdown points, discontinuities in higher derivatives, and self-similarity. Wavelet transform is capable of providing the time and frequency information simultaneously, hence giving a time-frequency representation of the signal. For wavelets, the period of growth and intuition is becoming a time of consolidation and implementation. In this paper, an application to forecast power flow using the MATLAB Wavelet Toolbox is presented. Trends and period of power flows in forms of one dimensional arrays are revealed by Wavelet analysis technique. And the power flows in anticipation of the future are made by combining trend, period and previous values.(Abstract)