Capacitive voltage transformer measurement error prediction by improved long short-term memory neural network

Capacitive voltage transformer measurement error prediction by improved long short-term memory neural network

This paper proposes an improved Long Short-Term Memory neural network (LSTM) for Capacitor Voltage Transformer (CVT) measurement error prediction. The proposed model introduces bidirectional memory, deep feature extraction, and multi-task learning strategies to improve LSTM for high accuracy and hig...

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Bibliographic Details
Main Authors: Feng Zhou, Peng Zhao, Min Lei, Changxi Yue, Jicheng Yu, Siyuan Liang
Format: Article
Language:English
Published: Elsevier 2022-11-01
Series:Energy Reports
Subjects:
Capacitive voltage transformer
Measurement error
Bidirectional memory
LSTM
Online Access:http://www.sciencedirect.com/science/article/pii/S235248472201109X

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http://www.sciencedirect.com/science/article/pii/S235248472201109X

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