Qianyao Xu
Qianyao Xu
Ph.D, Tsinghua University
Verified email at eppei.com
Title
Cited by
Cited by
Year
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
782015
Balance of power: toward a more environmentally friendly, efficient, and effective integration of energy systems in China
C Kang, X Chen, Q Xu, D Ren, Y Huang, Q Xia, W Wang, C Jiang, J Liang, ...
IEEE Power and Energy Magazine 11 (5), 56-64, 2013
572013
Carbon emission flow in networks
C Kang, T Zhou, Q Chen, Q Xu, Q Xia, Z Ji
Scientific reports 2, 479, 2012
572012
A discussion on offshore wind power output characteristics and its accommodation
Q Xu, C Kang, N Zhang, Y Fan, H Zhu
Dianli Xitong Zidonghua(Automation of Electric Power Systems) 35 (22), 54-59, 2011
442011
Modelling and simulating the spatio-temporal correlations of clustered wind power using copula
N Zhang, C Kang, Q Xu, C Jiang, Z Chen, J Liu
Journal of Electrical Engineering & Technology 8 (6), 1615-1625, 2013
392013
A game theoretical pricing mechanism for multi-area spinning reserve trading considering wind power uncertainty
Q Xu, N Zhang, C Kang, Q Xia, D He, C Liu, Y Huang, L Cheng, J Bai
IEEE Transactions on Power Systems 31 (2), 1084-1095, 2015
302015
Preliminary theoretical investigation on power system carbon emission flow
T Zhou, C Kang, Q Xu, Q Chen
Automation of Electric Power Systems 7, 2012
242012
Capability evaluation of wind power accommodation considering security constraints of power grid in real-time dispatch [J]
K Chongqing, J Wenzhao, X Qianyao, L Ji, J Changming, L Jun
Proceedings of the CSEE 33 (16), 23-29, 2013
232013
A probabilistic method for determining grid-accommodable wind power capacity based on multiscenario system operation simulation
Q Xu, C Kang, N Zhang, Y Ding, Q Xia, R Sun, J Xu
IEEE Transactions on Smart Grid 7 (1), 400-409, 2014
192014
Preliminary research on power grid planning method aiming at accommodating new energy
KC PENG Bo, CHEN Xu, XU Qianyao, ZHANG Ning
POWER SYSTEM TECHNOLOGY 37 (12), 3386-3391, 2013
152013
Analysis on distribution characteristics and mechanisms of carbon emission flow in electric power network
T Zhou, C Kang, Q Xu, Q Chen, J Xin, Y Wu
Dianli Xitong Zidonghua(Automation of Electric Power Systems) 36 (15), 39-44, 2012
132012
Preliminary Investigation on a Method for Carbon Emission Flow Calculation of Power System [J]
T ZHOU, C KANG, Q XU, Q CHEN
Automation of Electric Power Systems 11, 2012
132012
Preliminary analysis on wind power accommodation system from multiple temporal and spatial scale perspective
QY Xu, CQ Kang, CM Jiang, ZX Chen, J Liu
Power System Protection and Control 41 (1), 28-32, 2013
102013
Day-ahead battery scheduling in microgrid considering wind power uncertainty using ordinal optimization
Q Xu, N Zhang, C Kang, R Wang, J Wang, Z Cui, Z Yang
2014 North American Power Symposium (NAPS), 1-6, 2014
72014
Analysis on the Characteristics of Wind Power Output in Guangdong Power Grid and Its Economic Evaluation [J]
Y Fan, Y Lin, Q XU, N ZHANG, X CHEN
Southern Power System Technology 6 (1), 8-12, 2012
62012
Ordinal optimization theory based planning for clustered wind farms considering the capacity credit
Y Wang, N Zhang, C Kang, Q Xu, H Li, J Xiao, Z Wang, R Shi, S Wang
Journal of Electrical Engineering & Technology 10 (5), 1930-1939, 2015
22015
Anti-disaster transmission expansion planning considering wind power integration using ordinal optimization
Q Xu, C Kang, Q Xia, D He, RG Harley, J Bai, Z Wang, H Li, X Tian
2014 IEEE PES General Meeting| Conference & Exposition, 1-5, 2014
22014
A Two-Stage Dispatch Mechanism for Virtual Power Plant Utilizing the CVaR Theory in the Electricity Spot Market
R Gao, H Guo, R Zhang, T Mao, Q Xu, B Zhou, P Yang
Energies 12 (17), 3402, 2019
12019
Clustered wind farms planning considering the capacity credit using ordinal optimization technique
N Zhang, C Kang, Q Xu, H Li, J Xiao, Z Wang, R Shi, S Wang
International Conference on Wind energy Grid-Adaptive Technologies, 2014
12014
A Load-based Mechanism Supporting Peak Shaving for Energy Storage (ES): an Adaptive Method
T Mao, Q Xu, B Zhou, R Zhang, J Wang
2019 IEEE Sustainable Power and Energy Conference (iSPEC), 1648-1652, 2019
2019
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