01765nas a2200145   4500008004100000245010400041210006900145520113500214100001801349700002101367700002201388700002401410700002501434856016001459       2020                        eng d00aA Novel Approach for Handling Diverse Energy Consumption Issues in Large Passenger and Cruise Ships0 aNovel Approach for Handling Diverse Energy Consumption Issues in3 aThe prediction of energy consumption in large passenger and cruise ships is certainly a complex and challenging issue. Towards addressing it, this paper reports on the development of a novel approach that builds on a sophisticated agent-based simulation model, which takes into account diverse parameters such as the size, type and behavior of the different categories of passengers onboard, the energy consuming facilities and devices of a ship, spatial data concerning the layout of a ship’s decks, and alternative ship operation modes. Outputs obtained from multiple simulation runs are then exploited by prominent Machine Learning algorithms to extract meaningful patterns between the composition of passengers and the corresponding energy demands in a ship. In this way, our approach is able to predict alternative energy consumption scenarios and trigger meaningful insights concerning the overall energy management in a ship. Overall, the proposed approach may handle the underlying uncertainty by blending the process-centric character of a simulation model and the data-centric character of Machine Learning algorithms.1 aBarri, Eirini1 aBouras, Christos1 aGkamas, Apostolos1 aKournetas, Georgios1 aKaracapilidis, Nikos  uhttp://telematics.upatras.gr/telematics/publications/novel-approach-handling-diverse-energy-consumption-issues-large-passenger-and-cruise-ships?language=el