| Probabilistic individual load forecasting using pinball loss guided LSTM Y Wang, D Gan, M Sun, N Zhang, Z Lu, C Kang Applied Energy 235, 10-20, 2019 | 392 | 2019 |
| Optimal configuration planning of multi-energy systems considering distributed renewable energy W Huang, N Zhang, J Yang, Y Wang, C Kang IEEE Transactions on Smart Grid 10 (2), 1452-1464, 2017 | 329 | 2017 |
| A state-independent linear power flow model with accurate estimation of voltage magnitude J Yang, N Zhang, C Kang, Q Xia IEEE Transactions on Power Systems 32 (5), 3607-3617, 2016 | 323 | 2016 |
| Impact of large-scale wind farm connecting with power grid on peak load regulation demand N Zhang, T Zhou, C Duan, X Tang, J Huang, Z Lu, C Kang Power System Technology 34 (1), 152-158, 2010 | 314* | 2010 |
| Data-driven probabilistic net load forecasting with high penetration of behind-the-meter PV Y Wang, N Zhang, Q Chen, DS Kirschen, P Li, Q Xia IEEE Transactions on Power Systems 33 (3), 3255-3264, 2017 | 298 | 2017 |
| Low-carbon operation of multiple energy systems based on energy-carbon integrated prices Y Cheng, N Zhang, B Zhang, C Kang, W Xi, M Feng IEEE Transactions on Smart Grid 11 (2), 1307-1318, 2019 | 291 | 2019 |
| Mixed-integer linear programming-based optimal configuration planning for energy hub: Starting from scratch Y Wang, N Zhang, Z Zhuo, C Kang, D Kirschen Applied energy 210, 1141-1150, 2018 | 267 | 2018 |
| Blockchain technique in the energy internet: preliminary research framework and typical applications N Zhang, Y Wang, C Kang, J Cheng, D He Proceedings of the CSEE 36 (15), 4011-4022, 2016 | 262* | 2016 |
| Modeling conditional forecast error for wind power in generation scheduling N Zhang, C Kang, Q Xia, J Liang IEEE Transactions on Power Systems 29 (3), 1316-1324, 2013 | 262 | 2013 |
| From demand response to integrated demand response: Review and prospect of research and application W Huang, N Zhang, C Kang, M Li, M Huo Protection and Control of Modern Power Systems 4 (2), 1-13, 2019 | 259 | 2019 |
| The role of concentrating solar power toward high renewable energy penetrated power systems E Du, N Zhang, BM Hodge, Q Wang, C Kang, B Kroposki, Q Xia IEEE Transactions on Power Systems 33 (6), 6630-6641, 2018 | 259 | 2018 |
| Cloud energy storage for residential and small commercial consumers: A business case study J Liu, N Zhang, C Kang, D Kirschen, Q Xia Applied energy 188, 226-236, 2017 | 244 | 2017 |
| Reducing curtailment of wind electricity in China by employing electric boilers for heat and pumped hydro for energy storage N Zhang, X Lu, MB McElroy, CP Nielsen, X Chen, Y Deng, C Kang Applied energy 184, 987-994, 2016 | 239 | 2016 |
| Combining probabilistic load forecasts Y Wang, N Zhang, Y Tan, T Hong, DS Kirschen, C Kang IEEE Transactions on Smart Grid 10 (4), 3664-3674, 2018 | 228 | 2018 |
| Probabilistic duck curve in high PV penetration power system: Concept, modeling, and empirical analysis in China Q Hou, N Zhang, E Du, M Miao, F Peng, C Kang Applied Energy 242, 205-215, 2019 | 227 | 2019 |
| Modeling carbon emission flow in multiple energy systems Y Cheng, N Zhang, Y Wang, J Yang, C Kang, Q Xia IEEE Transactions on Smart Grid 10 (4), 3562-3574, 2018 | 227 | 2018 |
| Standardized matrix modeling of multiple energy systems Y Wang, N Zhang, C Kang, DS Kirschen, J Yang, Q Xia IEEE Transactions on Smart Grid 10 (1), 257-270, 2017 | 222 | 2017 |
| 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 | 213 | 2018 |
| Modeling frequency dynamics in unit commitment with a high share of renewable energy Z Zhang, E Du, F Teng, N Zhang, C Kang IEEE Transactions on Power Systems 35 (6), 4383-4395, 2020 | 204 | 2020 |
| A short-term wind power forecasting approach with adjustment of numerical weather prediction input by data mining Q Xu, D He, N Zhang, C Kang, Q Xia, J Bai, J Huang IEEE Transactions on sustainable energy 6 (4), 1283-1291, 2015 | 204 | 2015 |
Chongqing KangProfessor, Tsinghua University, ChinaVerified email at tsinghua.edu.cn
