Statistical Analysis of Animal-Related Outages in Power Distribution Systems - A Case Study
Statistical Analysis of Animal-Related Outages in Power Distribution Systems - A Case Study
复制标题
配电系统中与动物相关的停电统计分析 - 案例研究
DOI：
10.1109/pesgm40551.2019.8973448
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发表时间：
2019
期刊：
影响因子：
--
通讯作者：
B. Chowdhury
中科院分区：
文献类型：
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作者：
M. Doostan;B. Chowdhury
本文提出了一种数据驱动的方法，探索动物相关的停电配电系统。主要目标是揭示与动物有关的停电的基本结构，确定强烈影响其频率的变量，并建立一个模型来预测每周发生的情况。为了进行这项研究，我们利用从美国一家主要公用事业公司获得的实际停电数据，除了不同类型的野生动物和天气相关的数据。这项研究的结果可能是非常翔实的公用事业公司在最大限度地了解他们的动物相关的停电问题，并建立简约的模型来预测它们。
This paper presents a data-driven approach for exploring animal-related outages in power distribution systems. The main objectives are to uncover the underlying structure of animal-related outages, identify variables that strongly influence their frequency, and build a model to predict their occurrence on a weekly basis. To carry out this study, we utilize actual outage data obtained from a major utility company in the U.S., in addition to different types of wildlife and weather-related data. Results of this study could be very informative to utility companies in maximizing insight into their animal-related outage problems, and to build parsimonious models for predicting them.