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Short-term wind power prediction based on time series analysis model

机译:基于时间序列分析模型的短期风电预测

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In this paper, three kinds of prediction models based on time series analysis method are studied. Largely the process of building the wind farm short-term power forecasting model is discussed, mainly including sequence preprocessing, model identification, model order judging, parameter estimation, model testing and so on. It focuses on wind power short-term generation forecasting combined with the specific example using time series method. The example demonstrates the effectiveness and usefulness of the model.
机译:本文研究了三种基于时间序列分析方法的预测模型。在很大程度上讨论了建设风电场短期功率预测模型的过程,主要包括序列预处理,模型识别,模型顺序判断,参数估计,模型测试等。它侧重于使用时间序列方法与具体示例结合的风力发短期发电预测。该示例展示了模型的有效性和有用性。

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