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ji yu xian chang shu ju de feng dian chang jian mo bian shi
Author(s): 
Pages: 1893-1896
Year: Issue:  11
Journal: East China Electric Power

Keyword:  Wind farmartificial neural networkBP networkElman network;
Abstract: The current mathematical modeling methods of wind power system are introduced and compared in this paper.Mechanism modeling method commonly has such problems as poor accuracy and low universality,while modeling based on artificial neural network can overcome these shortcomings.This paper adopts BP network and Elman network to identify and model based on abundant actual data of wind farm and compares respectively in four aspects-training time,memory,accuracy and stability.
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