Predictive analytics for hydrogen–honge oil dual fuel engine using machine learning

Key Points

• Performance improvement in dual fuel engines is achievable using predictive analytics and machine learning.
• Key metrics include efficiency and emissions reduction based on machine learning algorithms.
• Analysis leverages machine learning to assess performance with hydrogen and honge oil as fuel sources.
• Findings highlight the potential for enhanced energy efficiency in dual fuel applications.