EU ECSEL project DAIS which has received funding from the ECSEL Joint Undertaking (JU) under grant agreement No. 101007273

Shrestha, Rakesh, Mohammadi, Mohammadreza, Sinaei, Sima, Salcines, Alberto, Pampliega, David, Clemente, Raul, Lourdes Sanz, Ana, Nowroozi, Ehsan ORCID: https://orcid.org/0000-0002-5714-8378 and Lindgren, Andres (2024) Anomaly detection based on LSTM and autoencoders using federated learning in smart electric grid. Journal of Parallel and Distributed Computing, 193:104951. ISSN 0743-7315 (Print), 1096-0848 (Online) (doi:10.1016/j.jpdc.2024.104951)