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Abstract: The wind power prediction plays an essential role in operation, planning, taking part in open access and real time balancing of power system. Various forecasting methodologies have been proposed in number of research papers since last few decades. Therefore, on the basis of available literature, this review analyses new and current developments in the area of wind power & prediction of its derivatives (speed or direction) and compared in the form of comparative tables concerning the accuracy with taken care of variables to be predicted, time horizon, specific application area, data pre-processing, input data selection techniques, data used and various neural network techniques with their structure. The main focus of this review is to facilitate the various issues related to wind power forecasting techniques, emphasis on reduction of complexity of forecasting problem with increase in forecasting accuracy for different time span.

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