Agent Based Simulation Model for Energy Saving in Large Passenger and Cruise Ships

The prediction of energy consumption in large passenger and cruise ships is certainly a complex and challenging issue. Aiming to address it, this chapter reports on the development of a novel approach that builds on a sophisticated agent-based simulation model. The proposed approach takes into account diverse parameters such as the size, type, and behavior of the different categories of passengers on-board, the energy-consuming facilities and devices of a ship, spatial data concerning the layout of a ship’s decks, as well as alternative ship operation modes. Output obtained from multiple simulation runs is then exploited by prominent Machine Learning algorithms to extract meaningful data patterns concerning the composition