Data-driven power flow linearization: A regression approach Y Liu, N Zhang, Y Wang, J Yang, C Kang IEEE Transactions on Smart Grid 10 (3), 2569-2580, 2018 | 34 | 2018 |
An optimum regression approach for analyzing weather influence on the energy consumption Q Zeng, N Zhang, Y Wang, Y Liu, C Kang, Z Zeng, W Yang, M Luo 2016 International Conference on Probabilistic Methods Applied to Power …, 2016 | 6 | 2016 |
A Review on Data-driven Analysis and Optimization of Power Grid Y Liu, N Zhang, C Kang Automation of Electric Power Systems 42 (6), 157-167, 2018 | 4* | 2018 |
A Data-Driven Approach to Linearize Power Flow Equations Considering Measurement Noise Y Liu, Y Wang, N Zhang, D Lu, C Kang IEEE Transactions on Smart Grid 11 (3), 2576-2587, 2019 | 3 | 2019 |
Fast Power System Cascading Failure Path Searching with High Wind Power Penetration Y Liu, Y Wang, P Yong, N Zhang, C Kang, D Lu IEEE Transactions on Sustainable Energy, 2019 | 3 | 2019 |
Carbon Trading Models and Benefit Analysis in CSG West-to-east power transmission H Wu, Y Liu, N Zhang, S Lu, N Dong, C Kang Power System Technology 41 (3), 745-751, 2017 | 3* | 2017 |
Guiding Cascading Failure Search with Interpretable Graph Convolutional Network Y Liu, N Zhang, D Wu, A Botterud, R Yao, C Kang arXiv preprint arXiv:2001.11553, 2020 | 2 | 2020 |
Impact of carbon market on China's electricity market: an equilibrium analysis Y Liu, N Zhang, C Kang, Q Xia, H Wu, Z Chen 2017 IEEE Power & Energy Society General Meeting, 1-5, 2017 | 2 | 2017 |
Bounding Regression Errors in Data-driven Power Grid Steady-state Models Y Liu, B Xu, A Botterud, N Zhang, C Kang IEEE Transactions on Power Systems, 2020 | | 2020 |
Bounding Data-driven Model Errors in Power Grid Analysis Y Liu, B Xu, A Botterud, N Zhang, C Kang arXiv preprint arXiv:1910.13613, 2019 | | 2019 |