At PropheSea, we create digital twins which help companies and governments make better or automated decisions. Our customized (software) models are a representation of reality and create added value through predictions or by generating a better understanding of processes.
We are unique in that we are able to offer solutions both in problems where no data is available, but much is known about the controlling processes, as well as in situations where only data is available. Because of this, we are also able to complement process-based model solutions with machine learning methods and vice versa.
We strongly believe that our skills are useful in a broad range of applications towards the building of digital twins.
PA5 - Digital Twin of the Ocean (DTO) test use cases at EU sea-basins and the Atlantic Ocean
Our interest goes towards a project that aim to improve operational forecasting and use case modelling by integrating machine learning technology into digital twins based on mathematical models.
machine learning, digital twin, mathematical modelling, physics informed neural networks