Abstract: In recent years, with increasing amounts of renewable energy sources connecting to power networks, sub-/super-synchronous oscillations (SSOs) have occurred more frequently. Due to the ...

Discover how Fourier Analysis breaks down complex time series data into simpler components to identify trends and patterns, despite its limitations in stock forecasting.

Abstract: This paper presents the DSP algorithm for the estimation of the spectral correlation function describing properties of cyclostationary random processes in the bifrequency domain. The ...