Prediction Algorithm for Power Outage Areas of Affected Customers Based on CNN-LSTM

Prediction Algorithm for Power Outage Areas of Affected Customers Based on CNN-LSTM

Predicting outage areas for affected customers in a disaster requires real-time meteorological data, which can be challenging to obtain and process with high quality. In particular, missing or inaccurate data can occur in certain regions or during extreme weather events. Therefore, a Convolutional N...

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Bibliographic Details
Main Authors: Weixiang Huang, Wei Zhang, Qianyi Chen, Bo Feng, Xin Li
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Affected customers
CNN-LSTM
convolutional layer
pooling layer
prediction of power outage areas
Online Access:https://ieeexplore.ieee.org/document/10403911/

Internet

https://ieeexplore.ieee.org/document/10403911/

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