| Modelling to generate alternatives with an energy system optimization model JF DeCarolis, S Babaee, B Li, S Kanungo Environmental Modelling & Software 79, 300-310, 2016 | 149 | 2016 |
| A review on the integration of probabilistic solar forecasting in power systems B Li, J Zhang Solar Energy 210, 68-86, 2020 | 139 | 2020 |
| A techno-economic assessment of offshore wind coupled to offshore compressed air energy storage B Li, JF DeCarolis Applied Energy 155, 315-322, 2015 | 60 | 2015 |
| 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, 100150, 2023 | 44 | 2023 |
| A hybrid approach for transmission grid resilience assessment using reliability metrics and power system local network topology B Li, D Ofori-Boateng, YR Gel, J Zhang Sustainable and Resilient Infrastructure 6 (1-2), 26-41, 2021 | 33 | 2021 |
| Revenue prediction for integrated renewable energy and energy storage system using machine learning techniques Y Lin, B Li, TM Moiser, LM Griffel, MR Mahalik, J Kwon, SMS Alam Journal of Energy Storage 50, 104123, 2022 | 28 | 2022 |
| A clustering-based scenario generation framework for power market simulation with wind integration B Li, K Sedzro, X Fang, BM Hodge, J Zhang Journal of Renewable and Sustainable Energy 12 (3), 036301, 2020 | 24 | 2020 |
| The economics of electricity generation from Gulf Stream currents B Li, AR de Queiroz, JF DeCarolis, J Bane, R He, AG Keeler, VS Neary Energy 134, 649-658, 2017 | 24 | 2017 |
| Sizing ramping reserve using probabilistic solar forecasts: A data-driven method B Li, C Feng, C Siebenschuh, R Zhang, E Spyrou, V Krishnan, BF Hobbs, ... Applied Energy 313, 118812, 2022 | 19 | 2022 |
| How can probabilistic solar power forecasts be used to lower costs and improve reliability in power spot markets? a review and application to flexiramp requirements BF Hobbs, V Krishnan, J Zhang, HF Hamann, C Siebenschuh, R Zhang, ... IEEE Open Access Journal of Power and Energy 9, 437-450, 2022 | 17 | 2022 |
| Open Source Energy System Modeling Using Break-Even Costs to Inform State-Level Policy: A North Carolina Case Study B Li, J Thomas, AR de Queiroz, JF DeCarolis Environmental science & technology 54 (2), 665-676, 2019 | 15 | 2019 |
| A copula enhanced convolution for uncertainty aggregation B Li, J Zhang, BF Hobbs 2020 IEEE Power & Energy Society Innovative Smart Grid Technologies …, 2020 | 9 | 2020 |
| Assessing the resilience of the Texas power grid network D Ofori-Boateng, AK Dey, YR Gel, B Li, J Zhang, HV Poor 2019 IEEE data science workshop (dsw), 280-284, 2019 | 9 | 2019 |
| Hydropower flexibility valuation tool for flow requirement evaluation M Roni, T Mosier, B Li, SMS Alam, V Durvasulu, B Lawson, D Steindorf, ... Energy Reports 9, 217-228, 2023 | 6 | 2023 |
| Designing Hydropower Flows to Balance Energy and Environmental Needs (HydroWIRES Topic A Final Project Report) BM Pracheil, VH Chalishazar, S Carney, T DeSilva, T Mosier, T Veselka, ... Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States), 2022 | 6 | 2022 |
| Using probabilistic solar power forecasts to inform flexible ramp product procurement for the California ISO BF Hobbs, J Zhang, HF Hamann, C Siebenschuh, R Zhang, B Li, I Krad, ... Solar Energy Advances 2, 100024, 2022 | 6 | 2022 |
| Design, modeling and simulation of nuclear-powered integrated energy systems with cascaded heating applications B Poudel, M Gautam, B Li, J Huang, J Zhang Journal of Renewable and Sustainable Energy 15 (5), 2023 | 5 | 2023 |
| A clustering based scenario generation method for stochastic power system analysis B Li, J Zhang 2019 IEEE Power & Energy Society General Meeting (PESGM), 1-5, 2019 | 5 | 2019 |
| Reinforcement Learning for Intentional Islanding in Resilient Power Transmission Systems S Badakhshan, RA Jacob, B Li, J Zhang 2023 IEEE Texas Power and Energy Conference (TPEC), 1-6, 2023 | 4 | 2023 |
| Coordinated ramping product and regulation reserve procurements in caiso and miso using multi-scale probabilistic solar power forecasts (pro2r) BF Hobbs, Y Wang, Q Xu, S Zhang, HF Hamann, R Zhang, ... Johns Hopkins Univ., Baltimore, MD (United States), 2022 | 4 | 2022 |
Jie ZhangAssociate Professor, University of Texas at DallasVerified email at utdallas.edu