Segui
Jiaqing Lv
Jiaqing Lv
PI (Principal Investigator), AGH University of Krakow, Poland.
Email verificata su myumanitoba.ca
Titolo
Citata da
Citata da
Anno
Prediction of the transient stability boundary using the lasso
J Lv, M Pawlak, UD Annakkage
IEEE Transactions on Power Systems 28 (1), 281-288, 2012
692012
Addressing the conditional and correlated wind power forecast errors in unit commitment by distributionally robust optimization
X Zheng, K Qu, J Lv, Z Li, B Zeng
IEEE Transactions on Sustainable Energy 12 (2), 944-954, 2020
542020
Prediction of the transient stability boundary based on nonparametric additive modeling
J Lv, M Pawlak, UD Annakkage
IEEE Transactions on Power Systems 32 (6), 4362-4369, 2017
382017
Very short-term probabilistic wind power prediction using sparse machine learning and nonparametric density estimation algorithms
J Lv, X Zheng, M Pawlak, W Mo, M Miśkowicz
Renewable Energy 177, 181-192, 2021
312021
True random number generator using GPUs and histogram equalization techniques
JJM Chan, B Sharma, J Lv, G Thomas, R Thulasiram, P Thulasiraman
2011 IEEE International Conference on High Performance Computing and …, 2011
202011
Additive modeling and prediction of transient stability boundary in large-scale power systems using the Group Lasso algorithm
J Lv, M Pawlak
International Journal of Electrical Power & Energy Systems 113, 963-970, 2019
152019
Statistical testing for load models using measured data
J Lv, M Pawlak, UD Annakkage, B Bagen
Electric Power Systems Research 163, 66-72, 2018
142018
Transient stability assessment in large-scale power systems using sparse logistic classifiers
J Lv
International Journal of Electrical Power & Energy Systems 136, 107626, 2022
112022
Transient stability assessment in large-scale power systems based on the sparse single index model
J Lv
Electric Power Systems Research 184, 106291, 2020
102020
Power system oscillation mode prediction based on the lasso method
W Mo, J Lv, M Pawlak, UD Annakkage, H Chen
IEEE Access 8, 101068-101078, 2020
82020
Hyperspectral retrieval of surface soil organic matter content in a typical black soil region of northeast China
Z Nie, XF Li, JX Lv, X Zheng
Chinese Journal of Soil Science 50 (6), 1285-1293, 2019
72019
Nonparametric specification testing for Hammerstein systems
M law Pawlak, J Lv
IFAC-PapersOnLine 48 (28), 392-397, 2015
62015
IEEE 13th International Conference on High Performance Computing and Communications
JJM Chan, B Sharma, J Lv, G Thomas, R Thulasiram, P Thulasiraman
HPCC, 2011
52011
On semiparametric identification of MISO Hammerstein systems
M Pawlak, J Lv
2011 Digital Signal Processing and Signal Processing Education Meeting (DSP …, 2011
42011
Machine learning techniques for large-scale system modeling
J Lv
University of Manitoba (Canada), 2011
42011
On identification of multivariate Hammerstein systems
J Lv, M Pawlak
CCECE 2010, 1-4, 2010
42010
Nonparametric testing for Hammerstein systems
M Pawlak, J Lv
IEEE Transactions on Automatic Control 67 (9), 4568-4584, 2022
32022
Bandwidth selection for kernel generalized regression neural networks in identification of hammerstein systems
J Lv, M Pawlak
Journal of Artificial Intelligence and Soft Computing Research 11 (3), 181-194, 2021
32021
Prediction of daily maximum ozone levels using lasso sparse modeling method
J Lv, X Xu
arXiv preprint arXiv:2010.08909, 2020
12020
Analysis of Large Scale Power Systems via LASSO Learning Algorithms
M Pawlak, J Lv
Artificial Intelligence and Soft Computing: 18th International Conference …, 2019
12019
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
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