2 citations · 2 across the 1 of their papers we have counts for
2 papers
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…
math.DS2013
Modeling of Nonlinear Dynamic Systems with Volterra Polynomials: Elements of Theory and Applications
A. S. Apartsyn, S. V. Solodusha, V. A. Spiryaev
The paper presents a review of the studies that were conducted at Energy Systems Institute (ESI) SB RAS in the field of mathematical modeling of nonlinear input-output dynamic syst…