2 citations · 4 across the 2 of their papers we have counts for
2 papers
eess.SP2019★ 2 cited
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…
stat.ML2019★ 2 cited
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…