| The long-term impacts of carbon and variable renewable energy policies on electricity markets T Levin, J Kwon, A Botterud Energy Policy 131, 53-71, 2019 | 71 | 2019 |
| Resource adequacy in electricity markets with renewable energy J Kwon, Z Zhou, T Levin, A Botterud IEEE Transactions on Power Systems 35 (1), 773-781, 2019 | 43 | 2019 |
| Transmission expansion planning model considering conductor thermal dynamics and high temperature low sag conductors J Kwon, KW Hedman IET Generation, Transmission & Distribution 9 (15), 2311-2318, 2015 | 23 | 2015 |
| Evaluation of aggregated EV flexibility with TSO-DSO coordination L Wang, J Kwon, N Schulz, Z Zhou IEEE Transactions on Sustainable Energy 13 (4), 2304-2315, 2022 | 21 | 2022 |
| 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 | 21 | 2022 |
| Extreme weather and electricity markets: Key lessons from the February 2021 Texas crisis T Levin, A Botterud, WN Mann, J Kwon, Z Zhou Joule 6 (1), 1-7, 2022 | 20 | 2022 |
| Research priorities and opportunities in United States wholesale electricity markets Y Sun, T Levin, J Kwon, Q Xu, N Singhal, E Ela, Z Zhou, ... National Renewable Energy Lab.(NREL), Golden, CO (United States); Argonne …, 2021 | 12 | 2021 |
| Energy storage solutions to decarbonize electricity through enhanced capacity expansion modelling T Levin, J Bistline, R Sioshansi, WJ Cole, J Kwon, SP Burger, ... Nature Energy 8 (11), 1199-1208, 2023 | 11 | 2023 |
| Charging station planning to maximize extra load hosting capacity in unbalanced distribution system L Wang, J Kwon, O Verbas, A Rousseau, Z Zhou 2020 IEEE Power & Energy Society General Meeting (PESGM), 1-5, 2020 | 11 | 2020 |
| A stochastic multi-agent resource planning model: The impact of capacity remuneration mechanisms J Kwon, Z Zhou, T Levin, A Botterud 2018 IEEE International Conference on Probabilistic Methods Applied to Power …, 2018 | 9 | 2018 |
| A review of technology innovations for pumped storage hydropower V Koritarov, Q Ploussard, J Kwon, P Balducci Argonne National Lab.(ANL), Argonne, IL (United States), 2022 | 8 | 2022 |
| Research priorities and opportunities in United States competitive wholesale electricity markets Y Sun, T Levin, J Kwon, Q Xu, N Singhal, E Ela Washington, DC, 2021 | 7 | 2021 |
| Analysis of the impact of demand response by dynamic pricing for residential customers J Kwon, S Han, S Park, D Choi, BH Kim KIEE Summer Conference, 548-549, 2010 | 6* | 2010 |
| Optimal market participation of pumped storage hydropower plants considering hydraulic short-circuit operation J Kwon, T Levin, V Koritarov 2020 52nd North American Power Symposium (NAPS), 1-6, 2021 | 5 | 2021 |
| Pumped storage hydropower valuation guidebook: A cost-benefit and decision analysis valuation framework V Koritarov, P Balducci, T Levin, M Christian, J Kwon, C Milostan, ... Argonne National Lab.(ANL), Argonne, IL (United States); Idaho National Lab …, 2021 | 5 | 2021 |
| A study on REC price forecasting for the RPS S Hwang, J Kwon, J Ahn, P Woo, BH Kim KIEE summer conference, 352-354, 2012 | 4* | 2012 |
| The impact of market design and clean energy incentives on strategic generation investments and resource adequacy in low-carbon electricity markets J Kwon, T Levin, Z Zhou, A Botterud, M Mehrtash, BF Hobbs Renewable Energy Focus 47, 100495, 2023 | 3 | 2023 |
| The Effect of Clean Energy Generation Targets on the Portfolio of Electric Grid Generation Technologies MR Aldeman, J Kwon, WN Mann 2023 IEEE Green Technologies Conference (GreenTech), 234-238, 2023 | 3 | 2023 |
| Generator contingency modeling in electric energy markets: Derivation of prices via duality theory NG Singhal, J Kwon, KW Hedman arXiv preprint arXiv:1910.02323, 2019 | 3 | 2019 |
| A Computational Framework for Energy Storage Participation in Transmission Planning with Electricity Market Participation Z Zhou, J Kwon, KM Jhala, V Koritarov Argonne National Lab.(ANL), Argonne, IL (United States), 2022 | 2 | 2022 |
Zhi ZhouPrincipal Computational Scientist, Argonne National LaboratoryBestätigte E-Mail-Adresse bei anl.gov
