Следене
Chongqing Kang
Chongqing Kang
Professor, Tsinghua University, China
Потвърден имейл адрес: tsinghua.edu.cn
Заглавие
Позовавания
Позовавания
Година
Review of smart meter data analytics: Applications, methodologies, and challenges
Y Wang, Q Chen, T Hong, C Kang
IEEE Transactions on Smart Grid 10 (3), 3125-3148, 2018
12992018
Near-real-time monitoring of global CO2 emissions reveals the effects of the COVID-19 pandemic
Z Liu, P Ciais, Z Deng, R Lei, SJ Davis, S Feng, B Zheng, D Cui, X Dou, ...
Nature communications 11 (1), 5172, 2020
10802020
Increasing the flexibility of combined heat and power for wind power integration in China: Modeling and implications
X Chen, C Kang, M O'Malley, Q Xia, J Bai, C Liu, R Sun, W Wang, H Li
IEEE Transactions on Power Systems 30 (4), 1848-1857, 2014
6182014
Robust optimization-based resilient distribution network planning against natural disasters
W Yuan, J Wang, F Qiu, C Chen, C Kang, B Zeng
IEEE Transactions on Smart Grid 7 (6), 2817-2826, 2016
6052016
Optimal bidding strategy of battery storage in power markets considering performance-based regulation and battery cycle life
G He, Q Chen, C Kang, P Pinson, Q Xia
IEEE Transactions on Smart Grid 7 (5), 2359-2367, 2015
5582015
Review and prospect of integrated demand response in the multi-energy system
J Wang, H Zhong, Z Ma, Q Xia, C Kang
Applied Energy 202, 772-782, 2017
5312017
Review of power system load forecasting and its development
C Kang, Q Xia, B Zhang
Automation of Electric Power Systems 28 (17), 1-11, 2004
528*2004
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
4162019
Clustering of electricity consumption behavior dynamics toward big data applications
Y Wang, Q Chen, C Kang, Q Xia
IEEE transactions on smart grid 7 (5), 2437-2447, 2016
3862016
Key scientific issues and theoretical research framework for power systems with high proportion of renewable energy
康重庆, 姚良忠
Automation of electric power systems 41 (9), 2-11, 2017
3772017
Prospects of low-carbon electricity
C Kang, Q Chen, Q Xia
Power System Technology 33 (2), 1-7, 2009
375*2009
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
3412016
Load profiling and its application to demand response: A review
Y Wang, Q Chen, C Kang, M Zhang, K Wang, Y Zhao
Tsinghua Science and Technology 20 (2), 117-129, 2015
3392015
A linearized OPF model with reactive power and voltage magnitude: A pathway to improve the MW-only DC OPF
Z Yang, H Zhong, A Bose, T Zheng, Q Xia, C Kang
IEEE Transactions on Power Systems 33 (2), 1734-1745, 2017
3372017
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
3362017
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
317*2010
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
3132019
Carbon emission flow from generation to demand: A network-based model
C Kang, T Zhou, Q Chen, J Wang, Y Sun, Q Xia, H Yan
IEEE transactions on smart grid 6 (5), 2386-2394, 2015
3012015
A novel combined data-driven approach for electricity theft detection
K Zheng, Q Chen, Y Wang, C Kang, Q Xia
IEEE Transactions on Industrial Informatics 15 (3), 1809-1819, 2018
3002018
电力系统负荷预测
康重庆, 夏清, 刘梅
中国电力出版社, 2007
2772007
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