Outage Detection in Partially Observable Distribution Systems Using Smart Meters and Generative Adversarial Networks
Outage Detection in Partially Observable Distribution Systems Using Smart Meters and Generative Adversarial Networks
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DOI：
10.1109/tsg.2020.3008770
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发表时间：
2019-12
影响因子：
9.6
通讯作者：
Yuxuan Yuan;K. Dehghanpour;Fankun Bu;Zhaoyu Wang
中科院分区：
文献类型：
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作者：
Yuxuan Yuan;K. Dehghanpour;Fankun Bu;Zhaoyu Wang
在本文中，我们提出了一种新的数据驱动的方法来检测停电事件在部分可观测的配电系统通过捕捉智能电表（SM）的数据分布的变化。为了实现这一点，首先，一个基于广度优先搜索（BFS）的机制
In this paper, we present a novel data-driven approach to detect outage events in partially observable distribution systems by capturing the changes in smart meters’ (SMs) data distribution. To achieve this, first, a breadth-first search (BFS)-based mecha