A Distributed Control Approach Based on Game Theory for the Optimal Energy Scheduling of a Residential Microgrid with Shared Generation and Storage.
Raffaele CarliMariagrazia DotoliVittorio PalmisanoPublished in: CASE (2019)
Keyphrases
- game theory
- distributed control
- resource allocation
- cooperative
- game theoretic
- energy consumption
- nash equilibrium
- statistical physics
- multi agent systems
- mechanism design
- energy saving
- scheduling problem
- multi agent learning
- fictitious play
- dynamic programming
- evolutionary game theory
- control architecture
- financial crisis
- cooperative game theory
- pareto optimal
- decision theory
- optimal solution
- multi agent
- worst case
- multi agent reinforcement learning
- artificial intelligence
- human computation
- solution concepts
- autonomous agents
- np hard
- real time