2 citations · 4 across the 3 of their papers we have counts for
3 papers
Application of Gaussian Process Regression to Koopman Mode Decomposition for Noisy Dynamic Data
Akitoshi Masuda, Yoshihiko Susuki, Manel Martínez-Ramón +2
Koopman Mode Decomposition (KMD) is a technique of nonlinear time-series analysis that originates from point spectrum of the Koopman operator defined for an underlying nonlinear dy…
Data Selection for Short Term load forecasting
Nestor Pereira, Miguel Angel Hombrados Herrera, Vanesssa Gómez-Verdejo +2
Power load forecast with Machine Learning is a fairly mature application of artificial intelligence and it is indispensable in operation, control and planning. Data selection techn…
Stability analysis of a model for the market dynamics of a smart grid
F. Sorrentino, D. Tolic, R. Fierro +2
We consider the dynamics of a smart grid system characterized by widespread distributed generation and storage devices. We assume that agents are free to trade electric energy over…