Learning to run a power network with trust

Artificial agents are promising for real-time power network operations, particularly, to compute remedial actions for congestion management. However, due to high reliability requirements, purely autonomous agents will not be deployed any time soon and operators will be in charge of taking action for the foreseeable future. Aiming at designing...

A study of trust and cooperation in the Nzoia river basin using a water policy game

Nzoia river basin county governments barely cooperate in water resources management to jointly increase the basin's food and energy productivity levels, due to limited trust. In this paper, we propose a game-based approach that can be replicated in any river basin, to assess trust and collaboration processes. In particular, we used the pre...