Practical examples on how Machine Learning can enhance production optimisation in wind energy and shipping (oversees cargo transport) activities will be shown. Examples cover the whole business life-cycle, from planning to O&M. We also will compare the decision making strategy based on machine learning with commonly used practices, based either on historical records or physical-based modelling. Here the pros and cons of Machine Learning methods application for real-time decision support and production optimisation will be addressed.
• Machine Learning (ML) application in production optimisation
• Real-time decision support for O&M with big data analysis
• Advantage and disadvantage of ML application for production optimisation