ANT axis

Anticipating changes in the energy system

Axis definition

The TASE research program proposes approaches for anticipating the trajectories of an energy system. These approaches identify emerging issues, possible solutions, threats and opportunities that will emerge as a result of the transformation of the energy system.


Challenges and expectations

Modeling is at the heart of anticipation. It has to deal with increasingly complex systems, on large spatial and temporal scales. It must combine mathematical representation of physical phenomena with data from measurements. The program proposes multi-scale, parsimonious and hybrid approaches, providing a precise image of the objects modeled, while reducing computing time.


Energy management of highly distributed, variable and uncertain systems requires advanced methods, particularly for forecasting and control. The program proposes new methods combining models and data, at different scales.


Resilience is a highly topical issue in a context of high geopolitical tensions and climate change with uncertain effects on the energy system. To increase its robustness and ability to recover a nominal state after a critical event, the program proposes specific models to model and manage the energy system in a crisis context.

ANT projects

 AI-NRGY
AI-NRGY
Distributed AI architecture for future energy systems integrating a large number of distributed sources.
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 FINE4CAST
FINE4CAST
A new generation of tools for forecasting energy demand and renewable energy production on fine spatial and temporal scales.
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 FLEX-MEDIATION
FLEX-MEDIATION
Analyser les intermédiations sociales et les régulations politiques relatives à la consommation d’électricité
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Illustration projet FlexTASE. Ville vue du dessus avec énergies renouvelables
FLEXTASE
Socio-technical study of flexibility for massive RE integration
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 HyMES
HyMES
Hybrid modeling and control of multi-energy systems
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 POWDEV
POWDEV
Optimizing the resilience of power systems to extreme climatic events
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