Connected Intelligence

Master 2 – Distributed Constraint Optimization in Socio-technical Networks for Smart Energy Grids

Keywords: Web of Things, distributed constraint optimization, REST, semantic Web




An important challenge to be addressed in energy grids is optimizing the production and consumption of energy. For instance, a large number of electric vehicles charging simultaneously can bring a significant energy demand. To avoid grid failures, these vehicles must be able to coordinate their charging schedules such that they optimize the overall consumption of energy in the grid. In the same time, the vehicles must take into account the schedule constraints of their owners such that they are readily charged when they are needed. To this end, the vehicles are endowed with autonomy and social abilities such that they can bootstrap themselves in self-organizing socio-technical networks. The main objective of this internship is then to define and implement a protocol for solving distributed constraint optimization problems in socio-technical networks for smart energy grids.


Expected results




A protocol for distributed constraint optimization in socio-technical networks.




A library for implementing the defined protocol.



[1] Pierre Rust, Gauthier Picard, and Fano Ramparany. Using Message-passing DCOP Algorithms to Solve Energy-efficient Smart Environment Configuration Problems. International Joint Conference on Artificial Intelligence. 2016.
[2] Andrei Ciortea, Antoine Zimmermann, Olivier Boissier, and Adina Magda Florea. Hypermedia-driven Socio-technical Networks for Goal-driven Discovery in the Web of Things. Proceedings of the 7th International Workshop on the Web of Things (WoT). ACM, 2016.
[3] Andrei Ciortea, Antoine Zimmermann, Olivier Boissier, and Adina Magda Florea. Towards a Social and Ubiquitous Web: A Model for Socio-technical Networks. 2015 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT). Vol. 1. IEEE, 2015.