Power System Event Classification and Localization Using a Convolutional Neural Network

Power System Event Classification and Localization Using a Convolutional Neural Network

Detection and timely identification of power system disturbances are essential for situation awareness and reliable electricity grid operation. Because records of actual events in the system are limited, ensemble simulation-based events are needed to provide adequate data for building event-detectio...

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Bibliographic Details
Main Authors:	Huiying Ren, Z. Jason Hou, Bharat Vyakaranam, Heng Wang, Pavel Etingov
Format:	Article
Language:	English
Published:	Frontiers Media S.A. 2020-11-01
Series:	Frontiers in Energy Research
Subjects:	fault detection time series encoding classification localization wavelet decomposition gramian angular field
Online Access:	https://www.frontiersin.org/articles/10.3389/fenrg.2020.607826/full

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