Federated Learning based Energy Demand Prediction with Clustered Aggregation. (arXiv:2210.15850v1 [cs.LG])

To reduce negative environmental impacts, power stations and energy grids
need to optimize the resources required for power production. Thus, predicting
the energy consumption of clients is becoming an important part of every energy
management system. Energy usage information collected by the clients' smart
homes can be used to train a deep neural network to predict the future energy
demand. Collecting data from a large number of distributed clients for
centralized model training is expensive in terms of communication resources. …

aggregation arxiv energy federated learning prediction