most citedPower System Parameters Forecasting Using Hilbert-Huang Transform and Machine Learning

2 citations · 2 across the 1 of their papers we have counts for

collaborators

1 paper

cs.LG2014★ 2 cited

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…