Wavelet multiscale analysis of a power system load variance
Wavelet transform (WT) represents a very attractive mathematical area for just more than 15 years of its research in applications in electrical engineering. This is mainly due to its advantages over other processing techniques and signal analysis, which is reflected in the time-frequency analysis, and so it has an important application in the processing and analysis of time series. In this paper, for example, the analysis of the hourly load of a real power system over the past few years was performed by applying the continuous WT and using the Morlet wavelet function. The results show that this approach of data analysis can give a better insight into the basic characteristics of the consumption and identify the characteristic periods of the power system load variances over the past years, which can be very interesting for power system planners.
Wavelet multiscale analysis of a power system load variance
Wavelet transform (WT) represents a very attractive mathematical area for just more than 15 years of its research in applications in electrical engineering. This is mainly due to its advantages over other processing techniques and signal analysis, which is reflected in the time-frequency analysis, and so it has an important application in the processing and analysis of time series. In this paper, for example, the analysis of the hourly load of a real power system over the past few years was performed by applying the continuous WT and using the Morlet wavelet function. The results show that this approach of data analysis can give a better insight into the basic characteristics of the consumption and identify the characteristic periods of the power system load variances over the past years, which can be very interesting for power system planners.
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