Innovative approaches to addressing the tradeoff between interpretability and accuracy in ship fuel consumption prediction

Keyphrases

• Ship Fuel Consumption Prediction 100%
• Mixed-integer Quadratic Optimization 40%
• Physics-informed Neural Networks 40%
• Model Interpretability 40%
• White-box Model 40%
• Transport Costs 20%
• Shapley Additive Explanations 20%
• Explainable Machine Learning Models 20%
• Ship Fuels 20%
• Feature Value 20%
• Industry Specialist 20%

Engineering

• Black-Box Model 100%
• Physics Informed Neural Network 40%
• Box Model 40%

Earth and Planetary Sciences

• Fuel Consumption 100%
• Transport Cost 14%