Ning Zhang
Cited by
Cited by
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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