A novel PMU fog based early anomaly detection for an efficient wide area PMU network Z Yang, N Chen, Y Chen, N Zhou 2018 IEEE 2nd International Conference on Fog and Edge Computing (ICFEC), 1-10, 2018 | 24 | 2018 |
Exploration of singular spectrum analysis for online anomaly detection in crns Q Dong, Z Yang, Y Chen, X Li, K Zeng EAI Endorsed Transactions on Security and Safety 4 (12), 2017 | 13 | 2017 |
Anomaly detection in cognitive radio networks exploiting singular spectrum analysis Q Dong, Z Yang, Y Chen, X Li, K Zeng Computer Network Security: 7th International Conference on Mathematical …, 2017 | 13 | 2017 |
Data‐driven online distributed disturbance location for large‐scale power grids Z Yang, Y Chen, N Zhou, A Polunchenko, Y Liu IET Smart Grid 2 (3), 381-390, 2019 | 8 | 2019 |
Online anomalous vehicle detection at the edge using multidimensional SSA N Chen, Z Yang, Y Chen, A Polunchenko 2017 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS …, 2017 | 8 | 2017 |
Quick online detection of start time of disturbance in power grid Z Yang, N Zhou, A Polunchenko, Y Chen the IEEE GlobeCom, 1-6, 2015 | 5 | 2015 |
PReS: power peak reduction by real-time scheduling for urban railway transit Z Yang, Y Chen, N Zhou, S Tong 2019 IEEE Sustainability through ICT Summit (StICT), 1-6, 2019 | 4 | 2019 |
Enhancing sustained oscillation detection by data pre-processing using SSA Z Yang, M Ghorbaniparvar, N Zhou, Y Chen 2017 North American Power Symposium (NAPS), 1-6, 2017 | 4 | 2017 |
Singular spectrum analysis based quick online detection of disturbance start time in power grid Z Yang, N Zhou, A Polunchenko, Y Chen 2015 IEEE Global Communications Conference (GLOBECOM), 1-6, 2015 | 4 | 2015 |
Improve Smart Grid Reliability and Efficiency: A Data-Driven Edge Computing Approach Z Yang State University of New York at Binghamton, 2019 | | 2019 |