10 citations · 28 across the 7 of their papers we have counts for
7 papers
Spatio-temporal Patterns between ENSO and Weather-related Power Outages in the Continental United States
Long Huo, Xin Chen, Kaiwen Li +2
El Niño-Southern Oscillation (ENSO) exhibits significant impacts on the frequency of extreme weather events and its socio-economic implications prevail on a global scale. However,…
Higher-order Motif-based Time Series Classification for Forced Oscillation Source Location in Power Grids
Long Huo, Xin Chen
Time series motifs are used for discovering higher-order structures of time series data. Based on time series motifs, the motif embedding correlation field (MECF) is proposed to ch…
Deep-Reinforcement-Learning-Based Adaptive State-Feedback Control for Inter-Area Oscillation Damping with Continuous Eigenvalue Configurations
Siyuan Liang, Long Huo, Wenyu Qin +2
Controlling inter-area oscillation (IAO) across wide areas is crucial for the stability of modern power systems. Recent advances in deep learning, combined with the extensive deplo…
Power Network Uniqueness and Synchronization Stability from a Higher-order Structure Perspective
Hao Liu, Xin Chen, Long Huo +1
Triadic subgraph analysis reveals the structural features in power networks based on higher-order connectivity patterns. Power networks have a unique triad significance profile (TS…
The Waiting-Time Distribution for Network Partitions in Cascading Failures in Power Networks
Long Huo, Xin Chen
Network redundancy is one of the spatial network structural properties critical to robustness against cascading failures in power networks. The waiting-time distributions for netwo…
Attention-based Deep Neural Networks for Battery Discharge Capacity Forecasting
Yadong Zhang, Chenye Zou, Xin Chen
Battery discharge capacity forecasting is critically essential for the applications of lithium-ion batteries. The capacity degeneration can be treated as the memory of the initial…
Fast Transient Stability Prediction Using Grid-informed Temporal and Topological Embedding Deep Neural Network
Peiyuan Sun, Long Huo, Siyuan Liang +1
Transient stability prediction is critically essential to the fast online assessment and maintaining the stable operation in power systems. The wide deployment of phasor measuremen…