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Anomaly detection based on LSTM and autoencoders using federated learning in smart electric grid

Research article (Journal of Parallel and Distributed Computing, 2024) · cited 93× · AI/ML
academia openalex:W4400316269
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Anomaly detection based on LSTM and autoencoders using federated learning in smart electric grid

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Anomaly detection based on LSTM and autoencoders using federated learning in smart electric grid is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Anomaly detection based on LSTM and autoencoders using federated learning in smart electric grid. Retrieved May 24, 2026, from https://4ort.xyz/entity/anomaly-detection-based-on-lstm-and-autoencoders-using-federated-learning-in-smart-electric-grid
MLA “Anomaly detection based on LSTM and autoencoders using federated learning in smart electric grid.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/anomaly-detection-based-on-lstm-and-autoencoders-using-federated-learning-in-smart-electric-grid.
BibTeX @misc{4ortxyz_anomaly-detection-based-on-lstm-and-autoencoders-using-federated-learning-in-smart-electric-grid_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Anomaly detection based on LSTM and autoencoders using federated learning in smart electric grid}}, year = {2026}, url = {https://4ort.xyz/entity/anomaly-detection-based-on-lstm-and-autoencoders-using-federated-learning-in-smart-electric-grid}, note = {Accessed: 2026-05-24}}
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