Advanced signal processing tools can provide significant information on power systems. In this field of research, the present paper illustrates a time-frequency analysis to detect some properties of the power required by different types of users. Fourier and Wavelet transforms, in particular, are the numerical instruments to reveal the periodicity of the power signals and their stationarity. Results point out that different types of users are characterized by different sets of non-stationary frequency contributions, which can identify the typology of user.
|Titolo:||A time-frequency analysis of electrical users by means of Fourier and Wavelet transforms|
|Data di pubblicazione:||2016|
|Nome del convegno:||16th International Conference on Environment and Electrical Engineering, EEEIC 2016|
|Digital Object Identifier (DOI):||10.1109/EEEIC.2016.7555704|
|Appare nelle tipologie:||4.1 Contributo in Atti di convegno|