Federated and clustered deep learning models achieved lower RMSE and communication overhead than standard ML baselines on a public EV charging dataset.
Fast prediction for sparse time series: demand forecast of EV charging stations for cell phone applications,
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Energy Demand Prediction with Federated Learning for Electric Vehicle Networks
Federated and clustered deep learning models achieved lower RMSE and communication overhead than standard ML baselines on a public EV charging dataset.