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This paper presents the development of forecast models for a wind farm producibility with a 24 hours horizon. The aim is to obtain accurate wind power predictions by using feedforward artificial neural networks. In particular, different forecasting models are developed and for each of them the best architecture is researched by means of sensitivity analysis, modifying the main parameters of the artificial...
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...
An in-depth investigation of China's large-scale wind energy development is conducted in the paper. In order to cater for the trend of abating carbon emissions and improving energy efficiency, wind power industry is developing at an astonishing speed in China. The characteristics of China's LSWD are analyzed in the context of its basic national conditions of energy. The mode of long-distance, large...
The Romanian National Energy strategy is requesting that renewables quota to reach 33% of consumption in 2010 and 38% in 2020. One of the most challenging issues facing wind energy today is its maximal and reliable integration in the power markets. Due to transport/distribution grid lack of flexibility and high level of concentration in Dobrogea region of large wind developments the access to the...
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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