no code implementations • 7 Dec 2022 • Pavol Mulinka, Subham Sahoo, Charalampos Kalalas, Pedro H. J. Nardelli
In this paper, a hyperparameter tuning based Bayesian optimization of digital twins is carried out to diagnose various faults in grid connected inverters.
no code implementations • 23 Sep 2022 • Alexander Beattie, Pavol Mulinka, Subham Sahoo, Ioannis T. Christou, Charalampos Kalalas, Daniel Gutierrez-Rojas, Pedro H. J. Nardelli
Timely and accurate detection of anomalies in power electronics is becoming increasingly critical for maintaining complex production systems.
no code implementations • 30 Aug 2022 • Dick Carrillo, Charalampos Kalalas, Petra Raussi, Diomidis S. Michalopoulos, Demóstenes Z. Rodríguez, Heli Kokkoniemi-Tarkkanen, Kimmo Ahola, Pedro H. J. Nardelli, Gustavo Fraidenraich, Petar Popovski
Fifth-generation (5G) and beyond systems are expected to accelerate the ongoing transformation of power systems towards the smart grid.
no code implementations • 26 May 2020 • Dick Carrillo Melgarejo, Charalampos Kalalas, Arthur Sousa de Sena, Pedro H. J. Nardelli
Reconfigurable intelligent surfaces (RISs) have been recently considered as one of the emerging technologies for future communication systems by leveraging the tuning capabilities of their reflecting elements.