Their paper, entitled “Assessment of Three Deep Reinforcement Learning Algorithms for District Heating Network Optimal Control”, demonstrates how the optimization problem of district heating network control can be reformulated as a policy learning task, by coupling an autonomous agent with a digital twin of the network.

The work addresses the impact of domain walls on the thermal conductivity in ferroelectric and ferroelastic materials.

Adieu Jacques.

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What actions should be taken to fight global warming? How can we imagine the transformation of our major energy, urban, societal systems, ? What can we do to face this great global challenge? How to mobilize individually and collectively? The purpose of this conference is to propose solutions.