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Mar, 2024
处理概率风力预测中的缺失值:一种生成方法
Tackling Missing Values in Probabilistic Wind Power Forecasting: A Generative Approach
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Honglin Wen, Pierre Pinson, Jie Gu, Zhijian Jin
TL;DR
通过利用生成模型,在不需要预处理且避免引入潜在错误的情况下,同时预测基于观测值的所有未知值,提供了一种高效的概率预测方法,相比传统的先填补值再预测方法,能够在连续排名概率得分方面取得更好的性能。
Abstract
machine learning techniques
have been successfully used in
probabilistic wind power forecasting
. However, the issue of
missing values
with
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