| A Markovian influence graph formed from utility line outage data to mitigate large cascades K Zhou, I Dobson, Z Wang, A Roitershtein, AP Ghosh IEEE transactions on power systems 35 (4), 3224-3235, 2020 | 78 | 2020 |
| Using utility outage statistics to quantify improvements in bulk power system resilience MR Kelly-Gorham, PDH Hines, K Zhou, I Dobson Electric Power Systems Research 189, 106676, 2020 | 27 | 2020 |
| Exploring cascading outages and weather via processing historic data I Dobson, NLK Carrington, K Zhou, Z Wang, BA Carreras, ... arXiv preprint arXiv:1709.09079, 2017 | 24 | 2017 |
| Can an influence graph driven by outage data determine transmission line upgrades that mitigate cascading blackouts? K Zhou, I Dobson, PDH Hines, Z Wang 2018 IEEE International Conference on Probabilistic Methods Applied to Power …, 2018 | 16 | 2018 |
| The most frequent Nk line outages occur in motifs that can improve contingency selection K Zhou, I Dobson, Z Wang IEEE Transactions on Power Systems 39 (1), 1785-1796, 2023 | 13 | 2023 |
| Bayesian estimates of transmission line outage rates that consider line dependencies K Zhou, JR Cruise, CJ Dent, I Dobson, L Wehenkel, Z Wang, AL Wilson arXiv preprint arXiv:2001.08681, 2020 | 10 | 2020 |
| 基于随机森林算法的台区合理线损率估计方法 王守相， 周凯， 苏运 电力自动化设备 37 (11), 39-45, 2017 | 8 | 2017 |
| Can the Markovian influence graph simulate cascading resilience from historical outage data? K Zhou, I Dobson, Z Wang 2020 International Conference on Probabilistic Methods Applied to Power …, 2020 | 7 | 2020 |
| Maintenance scheduling of integrated electric and natural gas grids with wind energy integration C Wang, Z Wang, K Zhou, S Ma 2018 IEEE Power & Energy Society General Meeting (PESGM), 1-5, 2018 | 4 | 2018 |
| Investigation of Post-Demagnetization Torque Ripple in Fractional-Slot Surface-Mounted PM Wind Power Generators after Short Circuit Faults Y Du, Z Dong, H Zhan, L Wu, K Zhou, L Yu, Y Fang, L Sun IEEE Transactions on Industry Applications, 2023 | 2 | 2023 |
| Data analysis of cascading outages using historical data to mitigate blackouts K Zhou Iowa State University, 2022 | 1 | 2022 |
| Applying Bayesian estimates of individual transmission line outage rates K Zhou, JR Cruise, JI Chris, I Dobson, L Wehenkel, Z Wang, AL Wilson 2020 International Conference on Probabilistic Methods Applied to Power …, 2020 | 1 | 2020 |
| Comparative Study of Short Circuits and Demagnetization in Delta, Star, and Hybrid Winding Connections for Surface-Mounted Permanent Magnet Machines J Chen, Y Du, H Zhan, K Zhou, Y Sun Machines 12 (6), 401, 2024 | | 2024 |
| Nk CONTINGENCY SELECTION USING NETWORK MOTIFS AND SPATIAL STATISTICS OBSERVED IN OUTAGE DATA K Zhou, I Dobson, Z Wang Data analysis of cascading outages using historical data to mitigate …, 2022 | | 2022 |
| TESTING THE MARKOVIAN INFLUENCE GRAPH K Zhou Data analysis of cascading outages using historical data to mitigate …, 2022 | | 2022 |
| A MARKOVIAN INFLUENCE GRAPH FORMED FROM OUTAGE DATA K Zhou, I Dobson, Z Wang, A Roitershtein, AP Ghosh Data analysis of cascading outages using historical data to mitigate …, 2022 | | 2022 |
| SIMULATING CASCADING RESILIENCE FROM HISTORICAL DATA USING THE MARKOVIAN INFLUENCE GRAPH K Zhou, I Dobson, Z Wang Data analysis of cascading outages using historical data to mitigate …, 2022 | | 2022 |
| Bayesian estimates of transmission line outage rates that consider line dependencies K Zhou, JR Cruise, CJ Dent, I Dobson, L Wehenkel, Z Wang, AL Wilson IEEE Transactions on Power Systems 36 (2), 1095-1106, 2021 | | 2021 |
| Exploring Cascading Outages and Weather via Processing Historic Data IDNLK Carrington, K Zhou, Z Wang, BA Carreras, B Solutions, ... | | |
Zhaoyu WangFull Professor, Iowa State University在 iastate.edu 的电子邮件经过验证
