| Enhanced method for considering energy storage systems as ancillary service resources in stochastic unit commitment K Kwon, D Kim Energy 213, 118675, 2020 | 31 | 2020 |
| Reinforcement learning-based optimal battery control under cycle-based degradation cost K Kwon, H Zhu IEEE Transactions on Smart Grid 13 (6), 4909-4917, 2022 | 27 | 2022 |
| Application of flexible ramping products with allocation rates in microgrid utilizing electric vehicles D Kim, K Kwon, MK Kim International Journal of Electrical Power & Energy Systems 133, 107340, 2021 | 17 | 2021 |
| Cost analysis method for estimating dynamic reserve considering uncertainties in supply and demand K Kwon, H Park, JK Lyu, JK Park Energies 9 (10), 845, 2016 | 10 | 2016 |
| Risk-Constrained Reinforcement Learning for Inverter-Dominated Power System Controls K Kwon, S Mukherjee, TL Vu, H Zhu IEEE Control Systems Letters, 2023 | 5 | 2023 |
| Model-free learning for risk-constrained linear quadratic regulator with structured feedback in networked systems K Kwon, L Ye, V Gupta, H Zhu 2022 IEEE 61st Conference on Decision and Control (CDC), 7260-7265, 2022 | 5 | 2022 |
| A Machine Learning-Based Energy Management Agent for Fine Dust Concentration Control in Railway Stations KB Kwon, SM Hong, JH Heo, H Jung, J Park Sustainability 14 (23), 15550, 2022 | 4 | 2022 |
| Dynamic reserve estimating method with consideration of uncertainties in supply and demand KB Kwon, HG Park, JK Lyu, YC Kim, JK Park The Transactions of The Korean Institute of Electrical Engineers 62 (11 …, 2013 | 4 | 2013 |
| Reinforcement Learning-based HVAC Control Agent for Optimal Control of Particulate Matter in Railway Stations K Kwon, S Hong, JH Heo, H Jung, J Park The Transactions of the Korean Institute of Electrical Engineers 70 (10 …, 2021 | 3 | 2021 |
| Development of Reinforcement Learning-based Energy Management Agent for HVAC Facilities and ESS K Kwon, S Hong, JH Heo, H Jung, J Park The Transactions of the Korean Institute of Electrical Engineers 71 (10 …, 2022 | 2* | 2022 |
| Efficient Representation for Electric Vehicle Charging Station Operations using Reinforcement Learning K Kwon, H Zhu Proceedings of the 55th Hawaii International Conference on System Sciences, 2022 | 2 | 2022 |
| Coherency-Aware Learning Control of Inverter-Dominated Grids: A Distributed Risk-Constrained Approach KB Kwon, RR Hossain, S Mukherjee, K Chatterjee, S Kundu, S Nekkalapu, ... IEEE Control Systems Letters, 2024 | 1 | 2024 |
| Structural Impact of Grid-Forming Inverters on Power System Coherency S Mukherjee, RR Hossain, K Chatterjee, S Kundu, KB Kwon, S Nekkalapu, ... arXiv preprint arXiv:2405.09675, 2024 | 1 | 2024 |
| Peer-to-peer communication control for resilient operations of networked cyberphysical systems TL Vu, S Mukherjee, KB Kwon, VA Adetola Pacific Northwest National Laboratory (PNNL), Richland, WA (United States), 2024 | | 2024 |
| Development of Machine Learning-Based Energy Management Agent to Control Fine Dust Concentration in Railway Stations K Kwon, J Park, SM Hong, JH Heo, H Jung Journal of Electrical Engineering & Technology 19 (4), 2757-2766, 2024 | | 2024 |
| Reinforcement Learning-based Energy Storage System Control for Optimal Virtual Power Plant Operation K Kwon, J Park, H Jung, S Hong, JH Heo The Transactions of the Korean Institute of Electrical Engineers 72 (11 …, 2023 | | 2023 |
| Reinforcement Learning-based Output Structured Feedback for Distributed Multi-Area Power System Frequency Control KB Kwon, S Mukherjee, H Zhu, TL Vu 2023 American Control Conference (ACC), 4483-4488, 2023 | | 2023 |
| Reinforcement learning for enhancing the stability and management of power systems with new resources K Kwon | | 2023 |
Hao ZhuAssociate Professor of ECEVerified email at utexas.edu
