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Study on Short-term Wind Power Prediction Model Based on ARMA Theory

机译:基于ARMA理论的短期风力预测模型研究

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At present, the difficulty of wind power integration has resulted in a large number of wind curtailment phenomena and wasted a lot of renewable energy. Due to the significant instability, anti-peak-regulation and intermittency of wind power, wind power integration needs an accurate prediction technique to be a basis. ARMA model has the advantage of high prediction accuracy in predicting short-term wind power. This paper puts forward the method for short-term wind power prediction using ARMA model and carries out empirical analysis using the data from a wind farm of Jilin province, which shows the science and operability of the proposed model. It provides a new research method for the wind power prediction.
机译:目前,风力电力集成的难度导致了大量的风缩小现象,浪费了很多可再生能源。由于风电的显着不稳定,防峰调节和间歇性,风力电力集成需要准确的预测技术是一个基础。 ARMA模型具有在预测短期风电方面具有高预测准确性的优点。本文提出了使用ARMA模型的短期风力预测方法,并使用吉林省风电场的数据进行实证分析,显示了所提出的模型的科学和可操作性。它为风电预测提供了一种新的研究方法。

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