Deep Reinforcement Learning-Assisted Federated Learning for Robust Short-term Utility Demand Forecasting in Electricity Wholesale Markets. (arXiv:2206.11715v1 [cs.DC])

Web: http://arxiv.org/abs/2206.11715

Short-term load forecasting (STLF) plays a significant role in the operation
of electricity trading markets. Considering the growing concern of data
privacy, federated learning (FL) is increasingly adopted to train STLF models
for utility companies (UCs) in recent research. Inspiringly, in wholesale
markets, as it is not realistic for power plants (PPs) to access UCs' data
directly, FL is definitely a feasible solution of obtaining an accurate STLF
model for PPs. However, due to FL's distributed nature and intense competition …

arxiv deep federated learning forecasting learning markets reinforcement reinforcement learning