Federated Learning with Hyperparameter-based Clustering for Electrical Load Forecasting

Understand

Electrical load prediction has become an integral part of power system operation.

• Deep learning models have found popularity for this purpose.
• However, to achieve a desired prediction accuracy, they require huge amounts of data for training.
• Sharing electricity consumption data of individual households for load prediction may compromise user privacy and can be expensive in terms of communication resources.