| Unrestricted wind farm layout optimization (UWFLO): Investigating key factors influencing the maximum power generation S Chowdhury, J Zhang, A Messac, L Castillo Renewable Energy 38 (1), 16-30, 2012 | 371 | 2012 |
| 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 | 311 | 2017 |
| Optimizing the arrangement and the selection of turbines for wind farms subject to varying wind conditions S Chowdhury, J Zhang, A Messac, L Castillo Renewable Energy 52, 273-282, 2013 | 263 | 2013 |
| A suite of metrics for assessing the performance of solar power forecasting J Zhang, A Florita, BM Hodge, S Lu, HF Hamann, V Banunarayanan, ... Solar Energy 111, 157-175, 2015 | 244 | 2015 |
| Design a J-type air-based battery thermal management system through surrogate-based optimization Y Liu, J Zhang Applied Energy 252, 113426, 2019 | 207 | 2019 |
| Verification of deterministic solar forecasts D Yang, S Alessandrini, J Antonanzas, F Antonanzas-Torres, V Badescu, ... Solar Energy 210, 20-37, 2020 | 203 | 2020 |
| Wind power ramp event forecasting using a stochastic scenario generation method M Cui, D Ke, Y Sun, D Gan, J Zhang, BM Hodge IEEE Transactions on Sustainable Energy 6 (2), 422-433, 2015 | 178 | 2015 |
| An adaptive hybrid surrogate model J Zhang, S Chowdhury, A Messac Structural and Multidisciplinary Optimization 46 (2), 223-238, 2012 | 148 | 2012 |
| A mixed-discrete particle swarm optimization algorithm with explicit diversity-preservation S Chowdhury, W Tong, A Messac, J Zhang Structural and Multidisciplinary Optimization 47, 367-388, 2013 | 135 | 2013 |
| A radial basis function-based multi-fidelity surrogate model: exploring correlation between high-fidelity and low-fidelity models X Song, L Lv, W Sun, J Zhang Structural and Multidisciplinary Optimization 60, 965-981, 2019 | 129 | 2019 |
| Reinforced Deterministic and Probabilistic Load Forecasting via -Learning Dynamic Model Selection C Feng, M Sun, J Zhang IEEE Transactions on Smart Grid 11 (2), 1377-1386, 2019 | 128 | 2019 |
| Comparison of numerical weather prediction based deterministic and probabilistic wind resource assessment methods J Zhang, C Draxl, T Hopson, L Delle Monache, E Vanvyve, BM Hodge Applied Energy 156, 528-541, 2015 | 115 | 2015 |
| 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 | 114 | 2018 |
| SolarNet: A sky image-based deep convolutional neural network for intra-hour solar forecasting C Feng, J Zhang Solar Energy 204, 71-78, 2020 | 111 | 2020 |
| A multivariate and multimodal wind distribution model J Zhang, S Chowdhury, A Messac, L Castillo Renewable Energy 51, 436-447, 2013 | 111 | 2013 |
| A review on the integration of probabilistic solar forecasting in power systems B Li, J Zhang Solar Energy 210, 68-86, 2020 | 109 | 2020 |
| A data-driven methodology for probabilistic wind power ramp forecasting M Cui, J Zhang, Q Wang, V Krishnan, BM Hodge IEEE Transactions on Smart Grid 10 (2), 1326-1338, 2017 | 106 | 2017 |
| An optimized swinging door algorithm for identifying wind ramping events M Cui, J Zhang, AR Florita, BM Hodge, D Ke, Y Sun IEEE Transactions on Sustainable Energy 7 (1), 150-162, 2015 | 104 | 2015 |
| Sensitivity analysis of renewable energy integration on stochastic energy management of automated reconfigurable hybrid AC–DC microgrid considering DLR security constraint M Dabbaghjamanesh, A Kavousi-Fard, S Mehraeen, J Zhang, ZY Dong IEEE Transactions on Industrial Informatics 16 (1), 120-131, 2019 | 102 | 2019 |
| Conditional aggregated probabilistic wind power forecasting based on spatio-temporal correlation M Sun, C Feng, J Zhang Applied Energy 256, 113842, 2019 | 97 | 2019 |
Bri-Mathias HodgeProfessor, CU Boulder / NREL在 nrel.gov 的电子邮件经过验证
