CORDIS Project
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This project develops a framework for making investment decisions in the energy sector under uncertainty. By combining machine learning with optimization techniques, it aims to generate and analyze various investment scenarios to support informed decision-making in the context of the green transition.
Many important decisions are taken under uncertainty since we do not know the development of various parameters.
In particular the ongoing green transition requires large and urgent societal investments in new energy modes, infrastructure and technology.
The decisions are spanning over a very long time-horizon, and there are large uncertainty towards energy prices, demand of energy, and production from renewable sources.
Such problem can be described as two-stage stochastic optimization problems…
TECHNICAL UNIVERSITY OF DENMARK DTU
DANMARKS TEKNISKE UNIVERSITET
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