Power Transformer Operating State Prediction Method Based on an LSTM Network

Power Transformer Operating State Prediction Method Based on an LSTM Network

The state of transformer equipment is usually manifested through a variety of information. The characteristic information will change with different types of equipment defects/faults, location, severity, and other factors. For transformer operating state prediction and fault warning, the key influen...

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Bibliographic Details
Main Authors:	Hui Song, Jiejie Dai, Lingen Luo, Gehao Sheng, Xiuchen Jiang
Format:	Article
Language:	English
Published:	MDPI AG 2018-04-01
Series:	Energies
Subjects:	power transformer state prediction data-driven method long short-term memory network state panoramic information
Online Access:	http://www.mdpi.com/1996-1073/11/4/914

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