SLIAvg

Federated Learning for Load Forecasting Improved by New Initialization Strategies

This paper addresses challenges in federated short-term load forecasting (STLF) caused by heterogeneity in client load data. The researchers propose two model initialization strategies: a pretrained initialization using…