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Yishen Wang
Yishen Wang
China Electric Power Research Institute
Bestätigte E-Mail-Adresse bei ieee.org - Startseite
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Zitiert von
Jahr
Model-free renewable scenario generation using generative adversarial networks
Y Chen, Y Wang, D Kirschen, B Zhang
IEEE Transactions on Power Systems 33 (3), 3265 - 3275, 2018
6272018
Near-optimal method for siting and sizing of distributed storage in a transmission network
H Pandžić, Y Wang, T Qiu, Y Dvorkin, DS Kirschen
IEEE Transactions on Power Systems 30 (5), 2288-2300, 2015
3712015
Stochastic multistage coplanning of transmission expansion and energy storage
T Qiu, B Xu, Y Wang, Y Dvorkin, DS Kirschen
IEEE Transactions on Power Systems 32 (1), 643-651, 2017
2532017
Optimal energy storage siting and sizing: A WECC case study
R Fernández-Blanco, Y Dvorkin, B Xu, Y Wang, DS Kirschen
IEEE Transactions on Sustainable Energy 8 (2), 733-743, 2017
2162017
Toward cost-efficient and reliable unit commitment under uncertainty
H Pandžić, Y Dvorkin, T Qiu, Y Wang, DS Kirschen
IEEE Transactions on Power Systems 31 (2), 970-982, 2016
1972016
Scalable planning for energy storage in energy and reserve markets
B Xu, Y Wang, Y Dvorkin, R Fernández-Blanco, CA Silva-Monroy, ...
IEEE Transactions on Power Systems 32 (6), 4515 - 4527, 2017
1602017
Look-ahead bidding strategy for energy storage
Y Wang, Y Dvorkin, R Fernández-Blanco, B Xu, T Qiu, DS Kirschen
IEEE Transactions on Sustainable Energy 8 (3), 1106-1117, 2017
1532017
Co-planning of investments in transmission and merchant energy storage
Y Dvorkin, R Fernandez-Blanco, Y Wang, B Xu, DS Kirschen, H Pandžić, ...
IEEE Transactions on Power Systems 33 (1), 245-256, 2018
1382018
Comparison of scenario reduction techniques for the stochastic unit commitment
Y Dvorkin, Y Wang, H Pandzic, D Kirschen
2014 IEEE PES General Meeting| Conference & Exposition, 1-5, 2014
1272014
Conditional Residual Modeling for Probabilistic Load Forecasting
Y Wang, Q Chen, N Zhang, Y Wang
IEEE Transactions on Power Systems 33 (6), 7327-7330, 2018
1132018
Scenario reduction with submodular optimization
Y Wang, Y Liu, DS Kirschen
IEEE Transactions on Power Systems 32 (3), 2479-2480, 2017
1042017
Two-stage WECC Composite Load Modeling: A Double Deep Q-Learning Networks Approach
X Wang, Y Wang, D Shi, J Wang, Z Wang
IEEE Transactions on Smart Grid, 2020
832020
Mathematical representation of the WECC composite load model
Z Ma, J Xie, Z Wang, Y Wang, R Diao, D Shi
arXiv preprint arXiv:1902.08866, 2019
502019
Efficient scenario generation of multiple renewable power plants considering spatial and temporal correlations
C Tang, Y Wang, J Xu, Y Sun, B Zhang
Applied Energy 221, 348-357, 2018
502018
Short-term Load Forecasting at Different Aggregation Levels with Predictability Analysis
Y Peng, Y Wang, X Lu, H Li, D Shi, Z Wang, J Li
2019 IEEE Innovative Smart Grid Technologies - Asia (ISGT Asia), 2019
462019
Robust Time-Varying Synthesis Load Modeling in Distribution Networks Considering Voltage Disturbances
M Cui, J Wang, Y Wang, R Diao, D Shi
IEEE Transactions on Power Systems 34 (6), 4438-4450, 2019
432019
Effect of time resolution on unit commitment decisions in systems with high wind penetration
H Pandžić, Y Dvorkin, Y Wang, T Qiu, DS Kirschen
2014 IEEE PES General Meeting| Conference & Exposition, 1-5, 2014
422014
Unit commitment under uncertainty–GAMS models
H Pandzic, Y Dvorkin, T Qiu, Y Wang, DS Kirschen
Library of the Renewable Energy Analysis Lab (REAL), University of …, 2015
41*2015
Real-Time Energy Disaggregation at Substations With Behind-the-Meter Solar Generation
W Li, M Yi, M Wang, Y Wang, D Shi, Z Wang
IEEE Transactions on Power Systems 36 (3), 2023-2034, 2020
382020
Imitation and Transfer Q-Learning-Based Parameter Identification for Composite Load Modeling
J Xie, Z Ma, K Dehghanpour, Z Wang, Y Wang, R Diao, D Shi
IEEE Transactions on Smart Grid 12 (2), 1674-1684, 2020
382020
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