Optimal control in microgrid using multi-agent reinforcement learning

Between MDPs and semi-MDPs: A framework for temporal abstraction in reinforcement learning

Richard S. Sutton, Doina Precup, Satinder Singh · Artificial Intelligence · 1999 · 3.1K citations

Business, Mathematics, Machine Learning +15

Hierarchical Reinforcement Learning with the MAXQ Value Function Decomposition

Tom Dietterich · Journal of Artificial Intelligence Research · 2000 · 1.4K citations · Full text

Business, Decision Sciences, Knowledge Representation +12

Multi-Agent Systems for Power Engineering Applications—Part I: Concepts, Approaches, and Technical Challenges

S.D.J. McArthur, E.M. Davidson, Victoria M. Catterson et al. · IEEE Transactions on Power Systems · 2007 · 1.1K citations · Full text

Engineering, Electrical Engineering, Systems Engineering +13

Distributed generation technologies, definitions and benefits

Walid El‐Khattam, M.M.A. Salama · Electric Power Systems Research · 2004 · 972 citations

Engineering, Computer Science, Electrical Engineering +12

Multi-agent system for energy resource scheduling of integrated microgrids in a distributed system

T. Logenthiran, Dipti Srinivasan, Ashwin M. Khambadkone · Electric Power Systems Research · 2010 · 316 citations

Computing, Computer Science, Distributed Systems +16