System Design Laboratory

ute that minimizes the ship’s required power, it is necessary to predict the sea level and the ship’s required power accordingly. The weather forecasting companies such as the European Center for Medium-Range Weather Forecast (ECMWF) and Hybrid Coordinate Ocean Model (HYCOM), which provide ocean environmental data, typically make short-term forecasts of around six weeks. Therefore, when a long-term prediction is needed, it is necessary to predict ocean environmental data on its own. In the case of the prediction of ship’s required power, a numerical method using model test results is traditionally used. However, this method is difficult to accurately predict the ship’s required power due to the model test’s uncertainty. To solve this problem, an onboard test must be conducted, but this is expensive and time-consuming. Therefore, in this study, the ocean environmental data and ship’s required power were predicted using deep learning.