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

June 24, 2022, 1:10 a.m. | Chenghao Huang, Weilong Chen, Xiaoyi Wang, Feng Hong, Shunji Yang, Yuxi Chen, Shengrong Bu, Changkun Jiang, Yingjie Zhou, Yanru Zhang

cs.LG updates on arXiv.org arxiv.org

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

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