no code implementations • 26 Sep 2022 • Gabriel Intriago, Andres Intriago, Charalambos Konstantinou, Yu Zhang
This paper proposes a strategy based on observers and residuals for detecting internal faults in grid-forming inverters with power-sharing coordination.
no code implementations • 25 Sep 2022 • Gabriel Intriago, Yu Zhang
Instance selection is a vital technique for energy big data analytics.
no code implementations • 24 Aug 2021 • Gabriel Intriago, Yu Zhang
This paper deals with the event and intrusion detection problem by leveraging a stream data mining classifier (Hoeffding adaptive tree) with semi-supervised learning techniques to distinguish cyber-attacks from regular system perturbations accurately.