4 citations · 14 across the 5 of their papers we have counts for
4 papers · 1 filter
Privacy-Preserving Generation Fraud Detection for Distributed Photovoltaic Systems: A Solar Irradiance-Fused Federated Learning Framework
Xiaolu Chen, Chenghao Huang, Yanru Zhang +1
The wide adoption of residential photovoltaic (PV) systems introduces new challenges for generation fraud detection (FD). Unlike traditional electricity theft detection, which focu…
Smart Energy Guardian: A Hybrid Deep Learning Model for Detecting Fraudulent PV Generation
Xiaolu Chen, Chenghao Huang, Yanru Zhang +1
With the proliferation of smart grids, smart cities face growing challenges due to cyber-attacks and sophisticated electricity theft behaviors, particularly in residential photovol…
Privacy-Preserving Personalized Federated Learning for Distributed Photovoltaic Disaggregation under Statistical Heterogeneity
Xiaolu Chen, Chenghao Huang, Yanru Zhang +1
The rapid expansion of distributed photovoltaic (PV) installations worldwide, many being behind-the-meter systems, has significantly challenged energy management and grid operation…
FedCoSR: Personalized Federated Learning with Contrastive Shareable Representations for Label Heterogeneity in Non-IID Data
Chenghao Huang, Xiaolu Chen, Yanru Zhang +1
Heterogeneity arising from label distribution skew and data scarcity can cause inaccuracy and unfairness in intelligent communication applications that heavily rely on distributed…