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Wind power prediction is important to the operation of power system with comparatively large mount of wind power. It can relieve or avoid the disadvantageous impact of wind farm on power systems. Because the traditional neural network may fall into local convergence, so it will be effective to improve the training algorithm to improve its convergence and accuracy of prediction. In this paper, a model...
Short-term prediction of wind speed is important for utility of wind power. Wind generating schedules in a wind farm could be efficiently accommodated by means of precise prediction of wind speed to mitigate the impact from instable wind power on power grids. Back-propagation neural network (BPNN) is a main approach for short-term of wind speed prediction. This paper proposes using momentum item to...
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