Prosumers as Aggregators in the DEZENT Context of Regenerative Power Production
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[1] Yi-Cheng Zhang,et al. Emergence of cooperation and organization in an evolutionary game , 1997 .
[2] Richard S. Sutton,et al. Reinforcement Learning: An Introduction , 1998, IEEE Trans. Neural Networks.
[3] Horst F. Wedde,et al. Distributed Learning Strategies for Collaborative Agents in Adaptive Decentralized Power Systems , 2008, 15th Annual IEEE International Conference and Workshop on the Engineering of Computer Based Systems (ecbs 2008).
[4] Ugo Montanari,et al. Real time market models and prosumer profiling , 2013, 2013 Proceedings IEEE INFOCOM.
[5] Alain Tcheukam Siwe. Prosumer planning in the DEZENT context of regenerative power production , 2013 .
[6] Daan Six,et al. ADDRESS: Scenarios and architecture for Active Demand development in the smart grids of the future , 2009 .
[7] A. Paice,et al. ADDRESS - Active Demand for the smart grids of the future , 2008 .
[8] Horst F. Wedde,et al. Bottom-Up Self-Organization of Unpredictable Demand and Supply under Decentralized Power Management , 2008, 2008 Second IEEE International Conference on Self-Adaptive and Self-Organizing Systems.
[9] Richard S. Sutton,et al. Learning to predict by the methods of temporal differences , 1988, Machine Learning.
[10] D. Whitehead,et al. The El Farol Bar Problem Revisited: Reinforcement Learning in a Potential Game , 2008 .