A data-driven multi-model methodology with deep feature selection for short-term wind forecasting C Feng, M Cui, BM Hodge, J Zhang
Applied Energy 190, 1245-1257, 2017
329 2017 Reinforced Deterministic and Probabilistic Load Forecasting via C Feng, M Sun, J Zhang
IEEE Transactions on Smart Grid 11 (2), 1377-1386, 2019
142 2019 SolarNet: A sky image-based deep convolutional neural network for intra-hour solar forecasting C Feng, J Zhang
Solar Energy 204, 71-78, 2020
141 2020 Unsupervised clustering-based short-term solar forecasting C Feng, M Cui, BM Hodge, S Lu, HF Hamann, J Zhang
IEEE Transactions on Sustainable Energy 10 (4), 2174-2185, 2018
123 2018 Probabilistic solar power forecasting based on weather scenario generation M Sun, C Feng, J Zhang
Applied Energy 266, 114823, 2020
105 2020 Conditional aggregated probabilistic wind power forecasting based on spatio-temporal correlation M Sun, C Feng, J Zhang
Applied Energy 256, 113842, 2019
104 2019 Convolutional neural networks for intra-hour solar forecasting based on sky image sequences C Feng, J Zhang, W Zhang, BM Hodge
Applied Energy 310, 118438, 2022
103 2022 Characterizing and analyzing ramping events in wind power, solar power, load, and netload M Cui, J Zhang, C Feng, AR Florita, Y Sun, BM Hodge
Renewable energy 111, 227-244, 2017
100 2017 Deep learning-based real-time building occupancy detection using AMI data C Feng, A Mehmani, J Zhang
IEEE Transactions on Smart Grid 11 (5), 4490-4501, 2020
97 2020 A taxonomical review on recent artificial intelligence applications to PV integration into power grids C Feng, Y Liu, J Zhang
International Journal of Electrical Power & Energy Systems 132, 107176, 2021
69 2021 Statistical representation of wind power ramps using a generalized Gaussian mixture model M Cui, C Feng, Z Wang, J Zhang
IEEE Transactions on Sustainable Energy 9 (1), 261-272, 2017
68 2017 A review of behind-the-meter solar forecasting BC Erdener, C Feng, K Doubleday, A Florita, BM Hodge
Renewable and Sustainable Energy Reviews 160, 112224, 2022
65 2022 Multi-distribution ensemble probabilistic wind power forecasting M Sun, C Feng, J Zhang
Renewable Energy 148, 135-149, 2020
63 2020 A two-step short-term probabilistic wind forecasting methodology based on predictive distribution optimization M Sun, C Feng, EK Chartan, BM Hodge, J Zhang
Applied energy 238, 1497-1505, 2019
55 2019 OpenSolar: Promoting the openness and accessibility of diverse public solar datasets C Feng, D Yang, BM Hodge, J Zhang
Solar Energy 188, 1369-1379, 2019
48 2019 Advances in solar forecasting: Computer vision with deep learning Q Paletta, G Terrén-Serrano, Y Nie, B Li, J Bieker, W Zhang, L Dubus, ...
Advances in Applied Energy 11, 100150, 2023
45 2023 Reinforcement learning based dynamic model selection for short-term load forecasting C Feng, J Zhang
2019 IEEE Power & Energy Society Innovative Smart Grid Technologies …, 2019
44 2019 A learning-augmented approach for AC optimal power flow J Rahman, C Feng, J Zhang
International Journal of Electrical Power & Energy Systems 130, 106908, 2021
40 2021 Hourly-similarity based solar forecasting using multi-model machine learning blending C Feng, J Zhang
2018 IEEE Power & Energy Society General Meeting (PESGM), 1-5, 2018
37 2018 Machine learning-aided security constrained optimal power flow J Rahman, C Feng, J Zhang
2020 IEEE Power & Energy Society General Meeting (PESGM), 1-5, 2020
32 2020 
Jie ZhangAssociate Professor, University of Texas at DallasПідтверджена електронна адреса в utdallas.edu