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The E-DUALITY project aims to enhance data-driven modeling across complex systems by exploring duality principles. It seeks to create a unified framework for predictive modeling applicable to various fields, including energy, transport, and health.
Future data-driven modelling is increasingly challenging for many systems due to higher complexity levels, such as in energy systems, environmental and climate modelling, traffic and transport, industrial processes, health, safety, and others.
This requires powerful concepts and frameworks that enable the design of high quality predictive models.
In this proposal E-DUALITY we will explore and engineer the potential of duality principles for future data-driven modelling.
An existing example illus…
KATHOLIEKE UNIVERSITEIT LEUVEN
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