Power System Parameters Forecasting Using Hilbert-Huang Transform and Machine Learning

Victor Kurbatsky, Nikita Tomin, Vadim Spiryaev +3

A novel hybrid data-driven approach is developed for forecasting power system parameters with the goal of increasing the efficiency of short-term forecasting studies for non-statio…