Journals

[2024년]
[J48] P. Prabawa and  D.-H. Choi  Safe Deep Reinforcement Learning-Assisted Two-Stage Energy Management for Active Power Distribution Networks with Hydrogen Fueling StationsApplied Energy  Vol. 375, Dec 1 2024 (Top 10% Journal in JCR 2023).
[J47] S. Lee   and  D.-H. Choi, Learning and Unlearning to Operate Profitable Secure Electric Vehicle Charging IEEE Transactions on Industrial Informatics Vol. 20, No. 9, pp 11213-11223, Sept 2024 (Top 5% Journal in JCR 2023).
[J46] S. Lee   and  D.-H. Choi , Multilevel Deep Reinforcement Learning for Secure Reservation-based Electric Vehicle Charging via Differential Privacy and Energy Storage System”, IEEE Transactions on Vehicular Technology  Vol. 73, No. 8, pp 11097-11109, Aug 2024 (Top 20% Journal in JCR 2023).
[J45] P. Prabawa and  D.-H. Choi  Distributionally Robust PV Planning and Curtailment Considering Cyber Attacks on Electric Vehicle Charging under PV/Load UncertaintiesEnergy Reports Vol. 11, 3436-3449 June 2024.
[J44] S. Lee   and  D.-H. Choi , Three-Stage Deep Reinforcement Learning for Privacy-and Safety-Aware Smart Electric Vehicle Charging Station Scheduling and Volt/VAR Control ”, IEEE Internet of Things Journal  Vol. 11, No. 5, pp 8578-8589, Mar 2024 (Top 5% Journal in JCR 2023).
[J43] H.T. Nguyen, Y.-J. Kim and D.-H. Choi, “Sample-Efficient Learning for a Surrogate Model of Three-Phase Distribution System ,” IEEE Transactions on Power Systems  Vol. 39, No. 1, pp 2361-2364, Jan 2024   (Top 20% Journal in JCR 2023).

[2023년]
[J42] H.T. Nguyen and D.-H. Choi , “Distributionally Robust Safety Filter for Learning-Based Control in Active Distribution Systems , IEEE Transactions on Smart Grid   Vol. 14, No. 6, pp 4972 – 4975, Nov 2023 (Top 10% Journal in JCR 2022).
[J41] S. Lee   and  D.-H. Choi , Two-Stage Scheduling of Smart Electric Vehicle Charging Stations and Inverter-Based Volt-VAR Control Using a Prediction Error-Integrated Deep Reinforcement Learning Method ”, Energy Reports  Vol. 10, 1135-1150 Nov 2023.
[J40] H.T. Nguyen and D.-H. Choi , “Distributionally Robust Model Predictive Control for Smart Electric Vehicle Charging Station with V2G/V2V Capability ,” IEEE Transactions on Smart Grid   Vol. 14, No. 6, pp 4621 – 4633, Nov 2023 (Top 10% Journal in JCR 2022).
[J39] H.T. Nguyen and D.-H. Choi , “Decentralized Distributionally Robust Coordination Between Distribution System and Charging Station Operators in Unbalanced Distribution Systems ,IEEE Transactions on Smart Grid   Vol. 14, No. 3, pp 2164-2177, May 2023 (Top 10% Journal in JCR 2022).
[J38] S. Jeon, H.T. Nguyen  and D.-H. Choi ,  “Safety-Integrated Online Deep Reinforcement Learning for Mobile Energy Storage System Scheduling and Volt/VAR Control in Power Distribution Networks IEEE Access  Vol.11, 34440-34455 , April 2023.
[J37] H. Ming, J. Meng, C. Gao, M. Song, T. Chen and  D.-H. Choi ,  “Efficiency Improvement of Decentralized Incentive-based Demand Response: Social Welfare Analysis and Market Mechanism DesignApplied Energy  Vol. 331, Feb 1 2023 (Top 5% Journal in JCR 2022).

[2022년]
[J36] S.I. Jeong  and  D.-H. Choi  “Electric Vehicle User Data-Induced Cyber Attack on Electric Vehicle Charging StationIEEE Access  Vol.10, pp 55856 – 55867, May 2022.
[J35] H.T. Nguyen and  D.-H. Choi , “Three-Stage Inverter-Based Peak Shaving and Volt-VAR Control in Active Distribution Networks Using Online Safe Deep Reinforcement Learning,” IEEE Transactions on Smart Grid   Vol. 13, No. 4, pp 3266-3277, July 2022 (Top 10% Journal in JCR 2021).
[J34] S. Jeon   and  D.-H. Choi ,  “Joint Optimization of Volt/VAR Control and Mobile Energy Storage System Scheduling in Active Power Distribution Networks Under PV Prediction UncertaintyApplied Energy  Vol. 310, Mar 15 2022 (Top 5% Journal in JCR 2021).
[J33] S. Lee   and  D.-H. Choi, Federated Reinforcement Learning for Energy Management of Multiple Smart Homes with Distributed Energy ResourcesIEEE Transactions on Industrial Informatics  Vol. 18, No. 1, pp 488-497, Jan 2022 (Top 5% Journal in JCR 2021) (Highly cited paper in the top 1% of the academic field of Engineering in Web of Science as of March/April 2024).

[2021년]
[J32] P. Prabawa and  D.-H. Choi  Hierarchical Volt-VAR Optimization Framework Considering Voltage Control of Smart Electric Vehicle Charging Stations under Uncertainty IEEE Access  Vol.9, pp 123398 – 123413, Sept 2021.
[J31] S . Lee  and  D.-H. Choi , “Dynamic Pricing and Energy  Management for Profit Maximization in Multiple Smart Electric Vehicle Charging Stations: A Privacy-Preserving Deep Reinforcement Learning ApproachApplied Energy  Vol. 304, Dec 15 2021 (Top 5% Journal in JCR 2020).
[J30] D. Choeum  and  D.-H. Choi , “Trilevel Smart Meter Hardening Strategy for Mitigating Cyber Attacks against Volt/VAR Optimization in Smart Power Distribution SystemsApplied Energy  Vol. 304, Dec 15 2021 (Top 5% Journal in JCR 2020).
[J29] S. Lee, L. Xie   and  D.-H. Choi , “Privacy-Preserving Energy Management of a Shared Energy Storage System for Smart Buildings: A Federated Deep Reinforcement Learning ApproachSensors   Vol.21, No. 14, July 2021 .
[J28] S. Jeon   and  D.-H. Choi , “Optimal Energy Management Framework for Truck-Mounted Mobile Charging Stations Considering Power Distribution System Operating ConditionsSensors   Vol.21, No. 8, April 2021 .
[J27] D. Choeum and  D.-H. Choi, Vulnerability Assessment of Conservation Voltage Reduction to Load Redistribution Attack in Unbalanced Active Distribution Networks IEEE Transactions on Industrial Informatics  Vol. 17, No. 1, pp 473-483, Jan 2021 (Top 5% Journal in JCR 2020).

[2020년]
[J26] D. Mak  and  D.-H. Choi, “Optimization Framework for Coordinated Operation of Home Energy  Management System and Volt-VAR Optimization in Unbalanced Active Distribution Networks Considering UncertaintiesApplied Energy  Vol. 276, Oct 2020 (Top 5% Journal in JCR 2019).
[J25] S. Lee   and  D.-H. Choi , “Energy management of Smart Home with Home Appliances, Energy Storage System and Electric Vehicle: A Hierarchical Deep Reinforcement Learning ApproachSensors   Vol.20, No. 2157, April 2020 .
[J24] P. Prabawa and D.-H. Choi  “Multi-Agent Framework for Service Restoration in Distribution Systems with Distributed Generators and Static/Mobile Energy Storage SystemsIEEE Access  Vol.8, Mar 2020.
[J23] D. Mak , D. Choeum and  D.-H. Choi, “Sensitivity analysis of volt-VAR optimization to data changes in distribution networks with distributed energy resourcesApplied Energy  Vol. 261, March 2020 (Top 5% Journal in JCR 2019).
[J22] M. Shin, D.-H. Choi  and J. Kim   “Cooperative Management for PV/ESS-Enabled Electric-Vehicle Charging Stations: A Multi-Agent Deep Reinforcement Learning ApproachIEEE Transactions on Industrial Informatics  Vol. 16, No. 5, pp 3493-3503, May 2020 (Top 5% Journal in JCR 2019).

[2019년]
[J21] D. Mak and D.-H. Choi ,  Smart Home Energy Management in Unbalanced Active Distribution Networks Considering Reactive Power Dispatch and Voltage Control ,IEEE Access  Vol.7, October 2019 .
[J20] S. Lee   and  D.-H. Choi ,  “Reinforcement Learning-Based Energy Management of Smart Home with Rooftop Solar Photovoltaic System, Energy Storage System, and Home AppliancesSensors   Vol.19, No. 3937, September 2019 .
[J19] Y-M. Kim, D. Jung, Y. Chang  and D.-H. Choi ,  “Intelligent Micro Energy Grid in 5G Era: Platforms, Business Cases, Testbeds, and Next Generation ApplicationsElectronics  Vol.8, No. 4, pp 1 – 23, April 2019.
[J18] D. Choeum and  D.-H. Choi ,  “OLTC-Induced False Data Injection Attack on Volt/VAR Optimization in Distribution Systems ,” IEEE Access  Vol.7, pp 34508 – 34520, April 2019.
[J17] J. Kim, H.-S. Jo, K.-J. Lee, D.-H. Lee, D.-H. Choi, and S. Kim,  “A Low-Complexity I/Q Imbalance Calibration Method for Quadrature Modulator ,”IEEE Transactions on Very Large Scale Integration  Vol. 27, No. 4, pp 974-977, April 2019.

[2018년]
[J16] D. Mak and D.-H. Choi,  Hierarchical Look-Ahead Conservation Voltage Reduction Framework Considering Distributed Energy Resources and Demand Reduction ,” Energies   Vol.11, No. 3250, November 2018 .
[J15] J.-W. Kang, L. Xie, and  D.-H. Choi,  “Impact of Data Quality in Home Energy Management System on Distribution System State Estimation ,”IEEE Access   Vol.6, pp 11024 – 11037, March 2018.
[J14] J.-W. Kang, I.-Y. Joo, and  D.-H. Choi ,  “False Data Injection Attacks on Contingency Analysis:Attack Strategies and Impact Assessment ,”IEEE Access   Vol.6, pp 8841 – 8851, March 2018.
[J13] D.-H. Choi  and L. Xie, Economic Impact Assessment of Topology Data Attacks with Virtual Bids ,” IEEE Transactions on Smart Grid  Vol. 9, No. 2, pp 512-520, March 2018.

[2017년]
[J12] I.-Y. Joo and D.-H. ChoiDistributed Optimization Framework for Energy Management of Multiple Smart Homes with Distributed Energy Resources ,” IEEE Access   Vol.5, pp 15551 – 15560, August 2017.
[J11] S. Lee, S. Jang, C. Nguyen, D.-H. Choi, and J. Kim, Self-Injection-Locked Divide-by-3 Frequency Divider with Improved Locking-Range, Phase Noise, and Input Sensitivity ,” IEIE J. Semiconductor Technology and Science  Vol. 17, No. 4 , pp 492-498, Aug 2017.
[J10] J.-W. Kang and D.-H. Choi ,Distributed Multi-Area WLS State Estimation Integrating Measurements Weight Update ,” IET Generation, Transmission &Distribution  Vol. 11, No. 10 , pp 2552-2561, July 2017.
[J9] D.-H. Choi  and L. Xie,Impact of Power System Network Topology Errors on Real-Time Locational Marginal Price ,” Journal of Modern Power System and Clear Energy  Vol. 5, No. 5 , pp 797–809, Sept 2017.
[J8] I.-Y. Joo and  D.-H. Choi , Optimal Household Appliance Scheduling Considering Consumer’s Electricity Bill Target ,” IEEE Transactions on Consumer Electronics  Vol. 63, No. 1 , pp 19-27, May 2017.
[J7] J. Kim, S. Lee, and  D.-H. ChoiInjection-Locked Frequency Divider Topology and Design Techniques for Wide Locking-Range and High-Order Division ,” IEEE Access   Vol.5,  pp 4410-4417, April 2017.
[J6] D.-H. Choi  and L. Xie, Data Perturbation-Based Sensitivity Analysis of Real-Time Look-Ahead Economic Dispatch ,” IEEE Transactions on Power Systems  Vol. 32, No. 3, pp 2072-2082, May 2017.

[2016년, after joining the Chung-Ang University]
[J5] D.-H. Choi  and L. Xie, A Framework for Sensitivity Analysis of Data Errors on Home Energy Management System ,” Energy  Vol 117, Part 1, pp 166-175, Dec 2016.

[~2015년, before joining the Chung-Ang University]
[J4] D.-H. Choi  and L. Xie, Sensitivity Analysis of Real-Time Locational Marginal Price to SCADA Sensor Data Corruption ,” IEEE Transactions on Power Systems  Vol. 29, No. 3, pp 1110-1120, May 2014.
[J3] D.-H. Choi  and L. Xie,Ramp-Induced Data Attacks on Look-Ahead Dispatch in Real-Time Power Markets ,” IEEE Transactions on Smart Grid  Vol. 4, No. 3, pp 1235-1243, Sept 2013.
[J2] L. Xie, D.-H. Choi , S. Kar, and H. Vincent Poor, Fully Distributed State Estimation for Wide-Area Monitoring Systems ,” IEEE Transactions on Smart Grid  Vol. 3, No. 3, pp 1154-1169, Sept 2012.
[J1] S. Wang, L. Cui, J. Que, D.-H. Choi , X. Jiang, S. Cheng, and L. Xie, A Randomized Response Model for Privacy Preserving Smart Metering ,” IEEE Transactions on Smart Grid  Vol. 3, No. 3, pp 1317-1324, Sept 2012.


Conference Papers

[C5] A. A. Thatte, D.-H. Choi  and L. Xie, Analysis of Locational Marginal Prices in Look Ahead Economic Dispatch ,18th Power Systems Computation Conference , August 2014.
[C4] D.-H. Choi  and L. Xie,Impact Analysis of Locational Marginal Price Subject to Power System Topology Errors ,2013 Fourth International Conference on Smart Grid Communications , October 2013.
[C3] D.-H. Choi  and L. Xie,Malicious Ramp-Induced Temporal Data Attack in Power Market with Look-Ahead Dispatch ,” 2012 Third International Conference on Smart Grid Communications , November 2012  (The Best Paper Award).
[C2] D.-H. Choi  and L. Xie, Fully Distributed Bad Data Processing for Wide Area State Estimation ,” 2011 Second International Conference on Smart Grid Communications , October 2011.
[C1] L. Xie, D.-H. Choi , and S. Kar, Cooperative Distributed State Estimation: Local Observability Relaxed ,” IEEE Power and Energy Society (PES) General Meeting , July 2011.

Domestic Conference Papers

[DC8] S. Lee and  D.-H. Choi, “A Differential Privacy and Deep Reinforcement Learning-based Energy Privacy Management System,” 1st Korea Energy Conference 2022.
[DC7] S. Lee and  D.-H. Choi, “Safe Deep Reinforcement Learning for Electric Vehicle Charging Station Energy Management System,” The 53th KIEE Summer Conference 2022.
[DC6] S. Lee and D.-H. Choi ,“Energy Management System of Smart Home Prosumer: A Deep Reinforcement Learning Approach,” 2021 Smart Grid Workshop   (The Best Paper Award).
[DC5] S. Lee and D.-H. Choi , “Pricing and Energy Management System for Smart Electric Vehicle Charging Stations: A Deep Reinforcement Learning Approach,” The 52th KIEE Summer Conference 2021.
[DC4] S. Lee and  D.-H. Choi , “Privacy-Preserving Energy Management System for Shared Energy Storage System of Smart Buildings with Deep Reinforcement Learning,” 2020 Smart Grid Workshop.
[DC3] S. Lee and D.-H. Choi , “Energy Management System of Energy Storage System in Heterogeneuos Environments using Federated Reinforcement Learning,” The 51th KIEE Summer Conference 2020.
[DC2] J.-W. Kang and  D.-H. Choi , “ Weight Tuning-based Power System State Estimation Algorithm for Smart Transmission and Grid Operations,” 2016 Smart Grid Workshop  (The Best Paper Award).
[DC1] I.-L. Joo and  D.-H. Choi , “Weight factor based Home Energy Management System(HEMS) Algorithm for Efficient Control of Electric Charges,” 2016 Smart Grid Workshop  (The Best Paper Award).

Domestic Patents

[DP1] D. Mak and D.-H. Choi , “스마트 배전 시스템을 위한 계층적 다중시간 사전예측 CVR 프레임워크 시스템 및 장치 ” (제 10-2188207호), 등록일: 2020년 12월 02일
[DP2] D. Mak and D.-H. Choi , “3상 불평형 저전압 배전 네트워크에서 홈 에너기 관리 시스템 최적화 방법 및 장치 ” (제 10-2316744호), 등록일: 2021년 10월 19일
[DP3] S. Lee and D.-H. Choi , “계층적 심화 강화학습을 이용한 HEMS 최적화 방법 및 장치 ” (제 10-2463146호), 등록일: 2022년 11월 01일
[DP4] S. Lee and D.-H. Choi , “강화학습을 이용한 HEMS 최적화 방법 및 장치 ” (제 10-2480421호), 등록일: 2022년 12월 20일
[DP5] S. Lee and D.-H. Choi , “연합 강화 학습에 기반한 멀티 스마트 홈 에너지 관리 방법 및 시스템 ” (제 10-2715322호), 등록일: 2024년 1004
[DP6] S. Jeon and D.-H. Choi , “이동형 충전소의 운영 스케줄링 방법 및 그 장치  ” (제 10-호), 등록일: 2024년 11월 일

• Book Chapter
[B1] L. Xie, D.-H. Choi , S. Kar, and H. V. Poor, “Bad/malicious Data Detection in Distributed Power System State Estimation ,” in Smart Grid Communications and Networking , E. Hossain, Z. Han, and H. V. Poor, Eds. Cambridge University Press, 2012.