학술논문
Exploring Spatio-temporal patterns of power faults in Guangzhou
Document Type
Conference
Author
Source
2022 IEEE 4th International Conference on Civil Aviation Safety and Information Technology (ICCASIT) Civil Aviation Safety and Information Technology (ICCASIT ), 2022 IEEE 4th International Conference on. :490-495 Oct, 2022
Subject
Language
Abstract
Using the power grid failure data of Guangzhou City during 2016-2018, we use the heatmap visualization, Moran’s I method to explore the spatial distribution pattern of power faults and identify the power fault-prone areas at different spatial scales in Guangzhou Power Grid. We also use DBSCAN clustering method in the analysis of the spatiotemporal features to obtain the high occurrence areas in the high-risk time intervals. The results can help the relevant institutes to take preventive measures specific to places and periods while facing power faults.