CNN-LSTM vs. LSTM-CNN to Predict Power Flow Direction: A Case Study of the High-Voltage Subnet of Northeast Germany

CNN-LSTM vs. LSTM-CNN to Predict Power Flow Direction: A Case Study of the High-Voltage Subnet of Northeast Germany

The massive installation of renewable energy sources together with energy storage in the power grid can lead to fluctuating energy consumption when there is a bi-directional power flow due to the surplus of electricity generation. To ensure the security and reliability of the power grid, high-qualit...

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Bibliographic Details
Main Authors: Fachrizal Aksan, Yang Li, Vishnu Suresh, Przemysław Janik
Format: Article
Language:English
Published: MDPI AG 2023-01-01
Series:Sensors
Subjects:
CNN-LSTM
LSTM-CNN
power flow prediction
network cluster
Online Access:https://www.mdpi.com/1424-8220/23/2/901

Internet

https://www.mdpi.com/1424-8220/23/2/901

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