Software and Platforms
Bilateral Contracts and Grants with Industry
Software and Platforms
Bilateral Contracts and Grants with Industry

Section: Partnerships and Cooperations

International Initiatives

Inria Associate Teams

  • Title: deciSion Tools for Energy Management (STEM)

  • Inria principal investigator: L. Brotcorne

  • International Partners (Institution - Laboratory - Researcher):

    • Polytechnic School of Montréal (Canada) - Département de mathématique et génie industriel

    • Université de Montréal (Canada) - Département d'informatique et recherche opérationnelle

  • Duration: 2012 - 2014

  • See also: http://dolphin.lille.inria.fr/Dolphin/EA-DOLPHIN

  • The economic rise of developing countries, together with the need to meet ever more stringent pollution reduction targets, will increase the stress on the global energy system. Within this framework, the goal of the current project is to develop decision tools for energy management in a context of market deregulation. We will focus on two issues, namely demand management and production planning.

    The first problem is concerned with the efficient management of consumption. More precisely, the short or long term behaviour of customers can be influenced through signals sent by a utility (or several utilities) to the end-users. These signals can take the form of an "optimal" pricing scheme, or yet of devices (timers, automatic switches, etc.) designed to induce an "optimal" behaviour from the users.

    The second issue is concerned with efficient management of sustainable energy production. Indeed the development of renewable energy introduces new parameters in the supply/demand global equilibrium process. The issue is to achieve the right trade-off between costs (production, security) and revenues when determining the daily hydro-electricity generation and storage within an environment where demand is stochastic.

    The first problem is modeled as a bilevel program, the second one as a integer mutli-objective stochastic program. Efficient and effective solution methods are developed and implemented to solve these problems.

Inria International Partners

  • University of Sydney, Australia

  • University of Montreal, Canada

  • Ecole Polytechnique of Montreal, Canada

Declared Inria International Partners
  • University of Luxembourg, Luxembourg

Informal International Partners
  • University of Shinshu, Nagano, Japan: Evolutionary multi-objective optimization, landscape analysis, and search performance (JSPS project 2013-2016)

  • Cooperation with Hernan Aguirre et Tanaka : Internship in Japan of A. Blot co-supervised by H. Aguirre, C. Dhaenens, L. Jourdan and Tanaka

Participation In other International Programs

  • Inria STIC-Tunisie 2011-2013.

  • CNRS PICS Luxembourg 2012-2014.

  • Japanese Government Grant Program 2013.