A Novel Approach to Energy Management in Large Passenger and Cruise Ships: Integrating Simulation and Machine Learning Models
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Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-030-84811-8_10
Reference17 articles.
1. Ancona, M.A., et al.: Efficiency improvement on a cruise ship: load allocation optimization. Energy Convers. Manage. 164, 42–58 (2018)
2. Barri, E., et al.: Blending simulation and machine learning models to advance energy management in large ships. In: Proceedings of the 10th International Conference on Simulation and Modeling Methodologies, Technologies and Applications (SIMULTECH 2020), pp. 101–109 (2020)
3. Barri, E., et al.: Towards an informative simulation-based application for energy saving in large passenger and cruise ships. In: Proceedings of the 6th IEEE International Energy Conference (ENERGYCON 2020), Gammarth, Tunisia (2020)
4. Baldi, F., Ahlgren, F., Nguyen, T.-V., Thern, M., Andersson, K.: Energy and exergy analysis of a cruise ship. Energies 11(10), 2508 (2018). https://doi.org/10.3390/en11102508
5. Chebotarova, Y., Perekrest, A., Ogar, V.: Comparative analysis of efficiency energy saving solutions implemented in the buildings. In: Proceedings of the IEEE International Conference on Modern Electrical and Energy Systems (MEES 2019), pp. 434–437 (2019). https://doi.org/10.1109/mees.2019.8896691
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