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Conference Sep 2026

Fault early-warning and closed-loop thermal control for power transformers based on multisource sensor data fusion

Power transformers are exposed to coupled electrical, thermal, chemical, and mechanical stresses; therefore, single-channel alarms cannot provide reliable early warning or energy-efficient thermal regulation. This paper proposes a multisource sensor fusion framework that jointly performs incipient-fault assessment and...

Rui-Tong Yuan, Qing-Yuan Dong, Jian-Peng Qiu et al. · 0 citations
Conference Sep 2026

Anomaly traffic detection and attack traceability for power communication networks

Power communication networks carry protection, metering, dispatching, and automated-control messages whose abnormal traffic may rapidly evolve into cyber-physical incidents. Existing intrusion detectors usually report an attack label but provide limited evidence about the source path, protocol cause, and affected elect...

Zu-Yue He, Mei-Han Chen, Hao-Bo Li et al. · 0 citations
Conference Sep 2026

Design of a remote operation and maintenance assistance system for substations based on augmented reality and three-dimensional modeling

Substation operation and maintenance (O&M) increasingly depends on heterogeneous sensing, three-dimensional asset models, remote expert collaboration, and auditable automation support. However, conventional mobile maintenance applications still separate equipment state, spatial context, safety procedures, expert guidan...

Hao-Bo Li, Zu-Yue He, Mei-Han Chen et al. · 0 citations
Conference Sep 2026

High-performance parallel computing-based fast power-flow solution technology for large-scale power grids

Fast power-flow solution is a computational foundation for large-scale grid operation, renewable accommodation, contingency screening, and automated energy facilities. Conventional Newton-Raphson (NR) solvers, however, become inefficient when thousands of large-network snapshots with repeated topologies must be solved....

Mei-Han Chen, Hao-Bo Li, Zu-Yue He et al. · 0 citations
Conference Sep 2026

Big-data mining-based identification of abnormal electricity consumption behavior for urban transport-energy distribution networks

Urban distribution networks that support residential areas, commercial districts and electric vehicle (EV) charging facilities generate large volumes of advanced metering infrastructure (AMI) data. Abnormal electricity consumption behavior, including meter bypassing, partial load scaling, flat-line reporting and false...

Hao Wu, Mei-Han Chen, Qing-Yuan Dong et al. · 0 citations

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