Optimising Energy Consumption for Ferries in Collaboration with Cetasol
| Title | Optimising Energy Consumption for Ferries in Collaboration with Cetasol |
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| Summary | This project aims at developing data-driven methods to understand ferry operations and optimise enegery consumption |
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| TimeFrame | Fall 2021 |
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| Author | |
| Supervisor | Yuantao Fan, Peyman Mashhadi |
| Level | Master |
| Status | Open |
The aim of this project is to develop, and investigate the use of, data-driven methods for optimizing energy consumption in maritime transportation. The project is in collaboration with Cetasol, a start-up active in sustainability and was established by Volvo Penta and Qamcom Group. Cetasol has extensive knowledge of marine application and and is currently directing its efforts in industrializing AI-based system to reduce energy consumptions for commercial vessels. Potential research topics in this project includes: (i) incremental learning for energy optimization for less-frequent route; (ii) online transfer learning for energy efficient navigation using Contextual Information; (iii) opertion mode identification and path optimization for marine environment.
