[HTML][HTML] A review of federated learning in renewable energy applications: Potential, challenges, and future directions
A Grataloup, S Jonas, A Meyer - Energy and AI, 2024 - Elsevier
Federated learning has recently emerged as a privacy-preserving distributed machine
learning approach. Federated learning enables collaborative training of multiple clients and …
learning approach. Federated learning enables collaborative training of multiple clients and …
Data-driven learning-based classification model for mitigating false data injection attacks on dynamic line rating systems
The increasing need to explore electric power grid expansion technologies like dynamic line
rating (DLR) systems and their dependence on real-time weather data for system planning …
rating (DLR) systems and their dependence on real-time weather data for system planning …
Ensemble adversarial training-based robust model for multi-horizon dynamic line rating forecasting against adversarial attacks
Dynamic line rating (DLR) forecasting is critical in the effective and economical utilization of
overhead lines (OHLs) in smart grids, which facilitates the integration of renewable energy …
overhead lines (OHLs) in smart grids, which facilitates the integration of renewable energy …