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Along with the rapid increase in wind power penetration into the power grid, wind power generation predicting is becoming increasingly important to power system operators and electricity market participants. However, the random nature of the wind power would increase the uncertainty of power systems. The influencing factor is one of the most important factors in the quality of wind power prediction...
Currently, most machine learning methods applied in spacecraft fault diagnosis are supervised learning methods, which have obvious shortcomings in representing complex functions under limited samples and cells. Moreover, the generalization ability of these methods is restricted. This article proposes a deep machine learning based method on satellite power system fault diagnosis, which combines the...
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