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The aim of the paper is to study the optimal participation of wind energy in adjustment markets in order to increase the wind producer revenues, through a stochastic optimization process, which considers the uncertainty of the random variables involved, namely short-term wind power prediction, intraday price prediction and imbalance price. A new modeling of the behavior of up and down imbalance prices...
The aim of the paper is to study the optimal participation of wind energy in day ahead and intraday markets. Due to the intermittent nature and the low predictability of wind power, this participation may imply large deviations from the initial schedule, which lead to a cost that has to be borne by the wind farm owner. By means of short term wind power prediction programs, these losses may be reduced,...
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