State Estimation for DC Microgrids Using Modified Long Short-Term Memory Networks

State Estimation for DC Microgrids Using Modified Long Short-Term Memory Networks

The development of state estimators for local electrical energy supply systems is inevitable as the role of the system’s become more important, especially with the recent increased interest in direct current (DC) microgrids. Proper control and monitoring requires a state estimator that can adapt to...

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Bibliographic Details
Main Authors: Faya Safirra Adi, Yee Jin Lee, Hwachang Song
Format: Article
Language:English
Published: MDPI AG 2020-04-01
Series:Applied Sciences
Subjects:
DC microgrids
deep learning
long short-term memory
loss function modification
state estimation
Online Access:https://www.mdpi.com/2076-3417/10/9/3028

Internet

https://www.mdpi.com/2076-3417/10/9/3028

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