<> "The repository administrator has not yet configured an RDF license."^^ . <> . . . "Power Trading Coordination in Smart Grids Using Dynamic Learning and Coalitional Game Theory"^^ . "In traditional power distribution models, consumers acquire power from the central distribution unit, while “micro-grids” in a smart power grid can also trade power between themselves. In this paper, we investigate the problem of power trading coordination among such micro-grids. Each micro-grid has a surplus or a deficit quantity of power to transfer or to acquire, respectively. A coalitional game theory based algorithm is devised to form a set of coalitions. The coordination among micro-grids determines the amount of power to transfer over each transmission line in order to serve all micro-grids in demand by the supplier micro-grids and the central distribution unit with the purpose of minimizing the amount of dissipated power during generation and transfer. We propose two dynamic learning processes: one to form a coalition structure and one to provide the formed coalitions with the highest power saving. Numerical results show that dissipated power in the proposed cooperative smart grid is only 10% of that in traditional power distribution networks."^^ . "2015" . . "9259" . . "Springer"^^ . . "Springer"^^ . . . . . . . . . . . "Farshad"^^ . "Shams"^^ . "Farshad Shams"^^ . . "Mirco"^^ . "Tribastone"^^ . "Mirco Tribastone"^^ . . . . . "HTML Summary of #3580 \n\nPower Trading Coordination in Smart Grids Using Dynamic Learning and Coalitional Game Theory\n\n" . "text/html" . . . "QA76 Computer software"@en . .