Índice

• BEGINN
• Contents
• Nomenclature
• 1 Motivation and Objectives
• 1.1 Motivation
• 1.2 Main Objectives
• 2 State of the Art and Introduction of Novel Approach
• 2.1 Previous Studies in Route Optimization for Ships
• 2.2 Previous Studies in Energy Management System Optimization for Hybrid Vehicles
• 2.3 Novel Approach applied in this Thesis
• 2.4 Foundations of Machine Learning
• 3 Methodology
• 3.1 Scientific Procedure
• 3.2 Fuel Consumption Modeling
• 3.3 Wind Propulsion Systems
• 3.4 Modeling of Controllable Pitch Propeller
• 3.5 Hybrid Powertrain Configuration
• 3.6 Structure of the Reinforcement Learning Concept
• 4 Results and Discussion
• 4.1 Comparison of different Reinforcement Learning-Methods
• 4.2 Route Optimization under Consideration of Wind Propulsion Systems
• 4.3 Route Optimization under Consideration of Pitch and Engine Parameters
• 4.4 Route Optimization under Consideration of Energy Management System
• 4.5 Reinforcement Learning vs Conventional Optimization Techniques
• 4.6 Summary of the Results
• 5 Conclusion and Outlook
• 5.1 Conclusion
• 5.2 Outlook
• List of Figures
• List of Tables
• Bibliography
• Appendix