混合密度网每月每小时用于风力发电预测

2021 IEEE URUCON Pub Date : 2021-11-24 DOI:10.1109/urucon53396.2021.9647384

D. Vallejo, R. Chaer

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引用次数: 0

摘要

在这项工作中，提出了一组混合密度网络(mdn)类型的神经网络(NNs)的训练。这组网络用于预测乌拉圭风力发电场的发电量。讨论了每月每小时使用一个MDN与单个MDN相比的优点和挑战。

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Mixture Density Networks per hour-month applied to wind power generation forecast

In this work, the training of a set of Mixture Density Networks (MDNs) type of Neural Networks (NNs) is presented. This set of networks is used to forecast the power generated by a wind farm in Uruguay. The advantages and challenges of using a MDN per hour-month against a single MDN are discussed.

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2021 IEEE URUCON

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