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04/07/2023
FedDiSC: A Computation-efficient Federated Learning Framework for Power Systems Disturbance and Cyber Attack Discrimination
With the growing concern about the security and privacy of smart grid sy...
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03/28/2023
FeDiSa: A Semi-asynchronous Federated Learning Framework for Power System Fault and Cyberattack Discrimination
With growing security and privacy concerns in the Smart Grid domain, int...
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09/29/2022
A Secure Federated Learning Framework for Residential Short Term Load Forecasting
Smart meter measurements, though critical for accurate demand forecastin...
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03/21/2022
A Bayesian Deep Learning Technique for Multi-Step Ahead Solar Generation Forecasting
In this paper, we propose an improved Bayesian bidirectional long-short ...
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03/01/2022
FedREP: Towards Horizontal Federated Load Forecasting for Retail Energy Providers
As Smart Meters are collecting and transmitting household energy consump...
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11/28/2021
False Data Injection Threats in Active Distribution Systems: A Comprehensive Survey
With the proliferation of smart devices and revolutions in communication...
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03/24/2021
A VAE-Based Bayesian Bidirectional LSTM for Renewable Energy Forecasting
The advancement in distributed generation technologies in modern power s...
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11/25/2020