• Linear Antisymmetric Recurrent Neural Networks 

      Moe, Signe; Remonato, Filippo; Grøtli, Esten Ingar; Gravdahl, Jan Tommy (Peer reviewed; Journal article, 2020)
      Recurrent Neural Networks (RNNs) have a form of memory where the output from a node at one timestep is fed back as input the next timestep in addition to data from the previous layer. This makes them highly suitable for ...
    • A tree based classifier for transient stability prediction following island splitting 

      Kiel, Erlend Sandø; Jakobsen, Sigurd Hofsmo; Haugen, Eirik; Lundemo, Sondre Duna; Riemer-Sørensen, Signe; Remonato, Filippo (Chapter, 2022)
      An unexpected failure or outage of one or multiple system components can cause a new operational situation that requires remedial actions. An important remedial action to model correctly is islanding. Finding the transient ...