5 citations · 9 across the 2 of their papers we have counts for
2 papers
cs.LG2021★ 5 cited
FederatedNILM: A Distributed and Privacy-preserving Framework for Non-intrusive Load Monitoring based on Federated Deep Learning
Shuang Dai, Fanlin Meng, Qian Wang +1
Non-intrusive load monitoring (NILM), which usually utilizes machine learning methods and is effective in disaggregating smart meter readings from the household-level into applianc…
eess.SY2021★ 4 cited
Electrical peak demand forecasting- A review
Shuang Dai, Fanlin Meng, Hongsheng Dai +2
The power system is undergoing rapid evolution with the roll-out of advanced metering infrastructure and local energy applications (e.g. electric vehicles) as well as the increasin…