Guorui REN
Guorui REN
Verified email at hit.edu.cn
Title
Cited by
Cited by
Year
Overview of wind power intermittency: Impacts, measurements, and mitigation solutions
G Ren, J Liu, J Wan, Y Guo, D Yu
Applied Energy 204, 47-65, 2017
1212017
Multi-step wind speed prediction based on turbulence intensity and hybrid deep neural networks
F Li, G Ren, J Lee
Energy Conversion and Management 186, 306-322, 2019
272019
Spatial and temporal assessments of complementarity for renewable energy resources in China
G Ren, J Wan, J Liu, D Yu
Energy 177, 262-275, 2019
262019
Analysis of wind power intermittency based on historical wind power data
G Ren, J Wan, J Liu, D Yu, L Söder
Energy 150, 482-492, 2018
262018
Variogram time-series analysis of wind speed
J Liu, G Ren, J Wan, Y Guo, D Yu
Renewable energy 99, 483-491, 2016
252016
Day-ahead prediction of wind speed with deep feature learning
J Wan, J Liu, G Ren, Y Guo, D Yu, Q Hu
International Journal of Pattern Recognition and Artificial Intelligence 30 …, 2016
242016
The analysis of turbulence intensity based on wind speed data in onshore wind farms
G Ren, J Liu, J Wan, F Li, Y Guo, D Yu
Renewable energy 123, 756-766, 2018
212018
Measurement and statistical analysis of wind speed intermittency
G Ren, J Liu, J Wan, Y Guo, D Yu, J Liu
Energy 118, 632-643, 2017
202017
Characterization of wind resource in China from a new perspective
G Ren, J Wan, J Liu, D Yu
Energy 167, 994-1010, 2019
142019
Ultra-short-term wind speed prediction based on multi-scale predictability analysis
J Wan, G Ren, J Liu, Q Hu, D Yu
Cluster Computing 19 (2), 741-755, 2016
112016
Prediction of the standard deviation of wind speed turbulence
GR Ren, JF Liu, J Wan, YF Guo, QH Hu, DR Yu
Journal of Environmental Informatics 32 (1), 1-13, 2018
42018
Assessing temporal variability of wind resources in China and the spatial correlation of wind power in the selected regions
G Ren, J Wan, J Liu, D Yu
Journal of Renewable and Sustainable Energy 12 (1), 013302, 2020
32020
Multi-scale DBNs regression model and its application in wind speed forecasting
X Zhao, J Wan, G Ren, J Liu, J Chang, D Yu
2016 IEEE Advanced Information Management, Communicates, Electronic and …, 2016
32016
Spatial and temporal correlation analysis of wind power between different provinces in China
G Ren, J Wan, J Liu, D Yu
Energy 191, 116514, 2020
22020
A universal power-law model for wind speed uncertainty
J Wan, J Liu, G Ren, Y Guo, W Hao, J Yu, D Yu
Cluster Computing 22 (4), 10347-10359, 2019
12019
An Integrated Evaluation Method of the Wind Power Ramp Event Based on Generalized Information of the Source, Grid, and Load
J Wan, Y Wang, G Ren, J Liu, W Wang, J Yu
Energies 13 (24), 6503, 2020
2020
Coastal Wind Speed's Multi-Parameter Forecasting Based on Quantitative Measurement of Its Predictability
J Wan, K Yao, G Ren, Y Cao, W Wang, X Zhao, J Yu
Journal of Coastal Research 115 (SI), 662-665, 2020
2020
The Amplitude & Frequency Bilateral Modulation Characteristics of Wind Speed Signal
K Yao, J Wan, G Ren, M Pan, W Wang, Y Cao, J Yu
2019 IEEE International Conference on Power Data Science (ICPDS), 15-18, 2019
2019
A Fusion Model for Day-Ahead Wind Speed Prediction based on the Validity of the Information.
J Wan, W Hao, G Ren, L Zhao, B Xu, C Sun, Z Zhao, C Lei, Y Guo, J Liu, ...
International Journal of Simulation--Systems, Science & Technology 17 (22), 2016
2016
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