TacTex'13: a champion adaptive power trading agent
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Cites background from "TacTex'13: a champion adaptive powe..."
...On the other side, it optimizes the future demands, prices and predicted energy costs to pick a suitable tariff among pre-created, fixed-rate candidate tariffs [3]....
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4 citations
Cites background from "TacTex'13: a champion adaptive powe..."
...In order to deal with the complexity of the simulation, participants agents have used computational intelligence techniques, such as reinforcement learning [23], [24], particle swarm optimization [25], and other adaptive strategies [26]– [28]....
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References
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"TacTex'13: a champion adaptive powe..." refers methods in this paper
...LWR (see, e.g. (Atkeson, Moore, and Schaal 1997)) was chosen since, being non-parametric, it requires very minimal assumptions about the representation of the predicted function (the customer preference function)....
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566 citations
"TacTex'13: a champion adaptive powe..." refers background in this paper
...All rights reserved. ing opened to competition, however, the transition to competitive markets can be risky (Borenstein 2002)....
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"TacTex'13: a champion adaptive powe..." refers background in this paper
...As a result, energy consumption patterns will have to adapt to the availability of renewable energy supply (Ramchurn et al. 2012)....
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