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.

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.