Maritime Industry

The maritime industry is undergoing a significant transformation driven by the need for decarbonization and increased efficiency. Current research focuses on optimizing vessel operations through machine learning models, including time series forecasting and spatial clustering for route planning, as well as predictive analytics for port operations and anomaly detection in sensorized vessels. These advancements leverage techniques like LSTM autoencoders, random forests, and Wasserstein distributionally robust control to improve safety, reduce fuel consumption, and streamline logistics. The resulting improvements in efficiency, sustainability, and safety have significant implications for both the economic viability and environmental impact of global shipping.