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Notice of Retraction
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE's Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
Study on the short-time wind speed prediction in wind farm, implementing of neural network algorithm, represent BP(Back-Propagation) algorithm and the construction, training and prediction way of BP network, do the wind speed short-time prediction using neural network algorithm, propose time-series neural network prediction based upon the method of time-series and network algorithm, discuss the way of how to choose the sum of input variables and implicit layer node. The simulate result shows that the network based on time-series neural network prediction has the disadvantages of much shorter training time, small error between predicted data and real data and goodness of fitting and predicting accuracy. The predicting method overcomes the disadvantages of slow convergence velocity and local least of BP network.