• Journals
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.
S. Lee  and D.-H. Choi, Federated Reinforcement Learning for Energy Management of Multiple Smart Homes with Distributed Energy Resources IEEE Transactions on Industrial Informatics Vol. 18, No. 1, pp 488-497, Jan 2022.

 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.
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 Approach Applied Energy Vol. 304, Dec 15 2021.
D. Choeum and D.-H. Choi, Trilevel Smart Meter Hardening Strategy for Mitigating Cyber Attacks against Volt/VAR Optimization in Smart Power Distribution Systems Applied Energy Vol. 304, Dec 15 2021.
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.
 S. Jeon  and D.-H. Choi, “Optimal Energy Management Framework for Truck-Mounted Mobile Charging Stations Considering Power Distribution System Operating Conditions” Sensors  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.

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 Uncertainties Applied Energy Vol. 276, Oct 2020.
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 Systems” IEEE 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 resources Applied Energy Vol. 261, March 2020.
[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.

[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.
S. Lee  and D.-H. Choi,  “Reinforcement Learning-Based Energy Management of Smart Home with Rooftop Solar Photovoltaic System, Energy Storage System, and Home Appliances” Sensors  Vol.19, No. 3937, September 2019.
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 Applications” Electronics 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.
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.

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.
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.

[J12] I.-Y. Joo and D.-H. Choi,  “Distributed 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. Choi,  “Injection-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 Publications
[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 Publications
 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.
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.
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
D. Mak and D.-H. Choi스마트 배전 시스템을 위한 계층적 다중시간 사전예측 CVR 프레임워크 시스템 및 장치” (제 10-2188207호), 등록일: 2020년 12월 02일
[DP2] D. Mak and D.-H. Choi3상 불평형 저전압 배전 네트워크에서 홈 에너기 관리 시스템 최적화 방법 및 장치” (제 10-2316744호), 등록일: 2021년 10월 19일

• 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.