Overall Objectives
Research Program
Application Domains
New Software and Platforms
New Results
Bilateral Contracts and Grants with Industry
Partnerships and Cooperations
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Section: Application Domains

Energy Management

Energy management, our prioritary application field, involves sequential decision making with:

Nice challenges also include:

We have had several related projects (Citines, a European (FP7) project; IOMCA, a ANR project), and we now work on the POST project, a ADEME BIA about investments in power systems. We have a collaboration with a company, Artelys, working on optimization in general, and in particular on energy management; this is a Inria ILAB.

Technical challenges: Our work focuses on the combination of reinforcement learning tools, with their anytime behavior and asymptotic guarantees, with existing fast approximate algorithms; see 6.2 . Our goal is to extend the state of the art by taking into account non-linearities which are often neglected in power systems due to the huge computational cost. We study various modelling errors, such as bias due to finite samples, linearization, and propose corrections.

Related Activities: