Geometric deep learning for online prediction of cascading failures in power grids

Geometric deep learning for online prediction of cascading failures in power grids

Past events have revealed that widespread blackouts are mostly a result of cascading failures in the power grid. Understanding the underlining mechanisms of cascading failures can help in developing strategies to minimize the risk of such events. Moreover, a real-time detection of precursors to casc...

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Bibliographic Details
Main Authors: Gjorgiev, B. (Author), Sansavini, G. (Author), Varbella, A. (Author)
Format: Article
Language:English
Published: Elsevier Ltd 2023
Subjects:
Cascading failures
Computational efficiency
Deep learning
E-learning
Failure (mechanical)
Graph classification
Graph neural networks
Graph representation
Graph representation learning
Grid state
Large dataset
Neural network model
Neural network models
Neural networks
Neural-networks
Power grid
Power grids
Risk perception
Transfer learning
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