Enabling digital twins in the maritime sector through the lens of AI and industry 4.0

Dimitrios Kaklis, Iraklis Varlamis, George Giannakopoulos, Takis J. Varelas, Constantine D. Spyropoulos

Abstract: Highlights•The materialization of a Digital Twin(DT) ecosystem to enhance operational efficiency.•Utilizing the envisaged DT to employ different input space partitioning methods.•A novel RPM prediction method based on a reduced feature set and B-Splines.•A FOC model that combines the predicted RPM with vessel-specific characteristics.•Proposing ways to empower deep sequential or recurrent models with Splines.