Development of a two-stage ship fuel consumption prediction and reduction model for a dry bulk ship

Keyphrases

• Reduction Model 100%
• Prediction Model 100%
• Dry Bulk 100%
• Fuel Consumption Reduction 100%
• Ship Fuel Consumption Prediction 100%
• Ship Fuel Consumption 40%
• Random Forest Regressor 40%
• Shipping Industry 20%
• Motivation 20%
• Weather Conditions 20%
• Numerical Experiments 20%
• Mean Absolute Percentage Error 20%
• Time of Arrival 20%
• Optimization Model 20%
• Shipping Companies 20%
• Carbon Dioxide CO2 20%
• International Environmental Regulation 20%
• Greenhouse Gas Emissions 20%
• Global Trade 20%
• Sailing Speed 20%
• Destination Port 20%
• Marine Conditions 20%
• Speed Optimization 20%
• Cargo Weight 20%
• Fuel Consumption Prediction 20%
• Ship Energy Efficiency 20%
• Main Engine 20%
• Hourly Fuel Consumption 20%
• Commercial Profits 20%
• Negative CO2 Emissions 20%

Engineering

• Reduction Model 100%
• Random Forest 100%
• Regressors 100%
• Energy Conservation 50%
• Numerical Experiment 50%
• Larger Quantity 50%
• Shipping Industry 50%
• Environmental Regulations 50%
• Main Engine 50%
• Energy Efficiency 50%
• Arrival Time 50%
• Greenhouse Gas 50%