A review of wind speed and wind power forecasting with deep neural networks Y Wang, R Zou, F Liu, L Zhang, Q Liu Applied Energy 304, 117766, 2021 | 502 | 2021 |
Reducing the complexity of quasi-maximum-likelihood detectors through companding for coded MIMO systems X Dai, R Zou, J An, X Li, S Sun, Y Wang IEEE Transactions on Vehicular technology 61 (3), 1109-1123, 2012 | 55 | 2012 |
A novel convolutional informer network for deterministic and probabilistic state-of-charge estimation of lithium-ion batteries R Zou, Y Duan, Y Wang, J Pang, F Liu, SR Sheikh Journal of Energy Storage 57, 106298, 2023 | 41 | 2023 |
Intelligent reflecting surface aided secure communications for NOMA networks C Gong, X Yue, X Wang, X Dai, R Zou, M Essaaidi IEEE Transactions on Vehicular Technology 71 (3), 2761-2773, 2021 | 40 | 2021 |
Simultaneous 3-D wireless power transfer to multiple moving devices with different power demands W Tang, Q Zhu, J Yang, D Song, M Su, R Zou IEEE Transactions on Power Electronics 35 (5), 4533-4546, 2019 | 40 | 2019 |
Sparse heteroscedastic multiple spline regression models for wind turbine power curve modeling Y Wang, Y Li, R Zou, AM Foley, D Al Kez, D Song, Q Hu, D Srinivasan IEEE Transactions on Sustainable Energy 12 (1), 191-201, 2020 | 39 | 2020 |
A deep asymmetric Laplace neural network for deterministic and probabilistic wind power forecasting Y Wang, H Xu, R Zou, L Zhang, F Zhang Renewable Energy 196, 497-517, 2022 | 35 | 2022 |
An LLC-Based Battery Equalizer With Inherent Current Limitation R Zou, F Liu, Y Liu, G Xu, F Liu IEEE Transactions on Power Electronics 37 (2), 1828-1840, 2021 | 32 | 2021 |
Wind turbine power curve modeling using an asymmetric error characteristic-based loss function and a hybrid intelligent optimizer R Zou, J Yang, Y Wang, F Liu, M Essaaidi, D Srinivasan Applied Energy 304, 117707, 2021 | 28 | 2021 |
Bayesian infinite mixture models for wind speed distribution estimation Y Wang, Y Li, R Zou, D Song Energy Conversion and Management 236, 113946, 2021 | 28 | 2021 |
Deep non-crossing probabilistic wind speed forecasting with multi-scale features R Zou, M Song, Y Wang, J Wang, K Yang, M Affenzeller Energy Conversion and Management 257, 115433, 2022 | 21 | 2022 |
A predictive control strategy for nonlinear NOx decomposition process in thermal power plants H Peng, W Gui, H Shioya, R Zou IEEE Transactions on Systems, Man, and Cybernetics-Part A: Systems and …, 2006 | 21 | 2006 |
Harmonic resonance characteristic of large-scale PV plant: Modelling, analysis, and engineering case Q Liu, F Liu, R Zou, Y Li IEEE Transactions on Power Delivery 37 (3), 2359-2368, 2021 | 19 | 2021 |
A novel data-driven deep learning approach for wind turbine power curve modeling Y Wang, X Duan, R Zou, F Zhang, Y Li, Q Hu Energy 270, 126908, 2023 | 16 | 2023 |
Almost disturbance decoupling and pole placement R Zou, M Malabre Automatica 45 (11), 2685-2691, 2009 | 16 | 2009 |
Ensemble probabilistic wind power forecasting with multi-scale features Y Wang, T Chen, R Zou, D Song, F Zhang, L Zhang Renewable Energy 201, 734-751, 2022 | 13 | 2022 |
Convergence properties of non-crossover genetic algorithm D Xiaoming, Z Runmin, S Rong, F Rui, H Shao Proceedings of the 4th World Congress on Intelligent Control and Automation …, 2002 | 13 | 2002 |
Robust LFC strategy for wind integrated time-delay power system using EID compensation F Liu, K Zhang, R Zou Energies 12 (17), 3223, 2019 | 12 | 2019 |
Reducing the complexity of quasi-ML detectors for MIMO systems through simplified branch metric and accumulated branch metric based detection X Dai, R Zou, S Sun, Y Wang IEEE communications letters 17 (5), 916-919, 2013 | 12 | 2013 |
Wind power curve modeling with large-scale generalized kernel-based regression model Y Wang, X Duan, D Song, R Zou, F Zhang, Y Li IEEE Transactions on Sustainable Energy 14 (4), 2121-2132, 2023 | 10 | 2023 |