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Minsoo Kim

Minsoo Kim 

 ‪Google Scholar, LinkedIn

Research Interests

Physical AI for Industrial Decision Making

Uncertainty-Aware Data-Driven Learning and Optimization

Privacy-Preserving Distributed Learning and Optimization

Education

Ph.D Sogang University Aug. 2024 (Advisor : Hongseok Kim)

B.S Sogang University Feb. 2019

Submitted or To be submitted Papers

Journal Papers

  • [1st author] Probabilistic Forecasting + Industrial System Operation ( To be submitted to IEEE Transactions on Industrial Informatics in Aug. 2026 )

  • [1st author] DeepBOP ( To be Submitted to IEEE Transactions on Industrial Informatics in Aug. 2026 )

  • [1st author] Federated Learning + alpha ( To be Submitted to IEEE Transactions on Industrial Informatics in Jul. 2026 )

  • [2nd author] AI + Power System Optimization (Submitted to IEEE Transactions on Industrial Informatics in Jun. 2026)

  • [1st author] AI + Optimal Transmission Switching (Submitted to IEEE Transactions on Power Systems in Apr. 2026 )

  • [1st author] AI + Dynamic Line Rating Forecasting (Submitted to IEEE Transactions on Power Systems in Dec. 2025; First round of Revision)

Conference Papers

Publications

Journal Papers

  • [J8] Graph-based Large Scale Probabilistic PV Power Forecasting Insensitive to Space-Time Missing Data

[2nd author] K. Song, M. Kim and H. Kim, IEEE Transactions on Sustainable Energy, Aug. 2024.

  • [J7] Unsupervised Deep Lagrange Dual with Equation Embedding for AC Optimal Power Flow

[1st author] M. Kim and H. Kim, IEEE Transactions on Power Systems, May. 2024.

  • [J6] FedAND: Federated Learning Exploiting Consensus ADMM by Nulling Drift 

[co-1st author] H. Kang*, M. Kim*, B. Lee, and H. Kim, IEEE Transactions on Industrial Informatics, Apr. 2024.

  • [J5] Stochastic Home Energy Scheduling Using Deep Learning-based Scenario Generation and Reduction

[1st author] M. Kim, T. Park, J. Jeong, and H. Kim, Applied Energy, Jul. 2023.

  • [J4] Sector Coupling and Migration Towards Carbon-Neutral Power Systems 

[2nd author] M. Son, M. Kim, and H. Kim, Energies, Jan. 2023.

  • [J3] Cloud Energy Storage System Operation with Capacity P2P Transaction 

[2nd author] J. Sim, M. Kim, D. Kim and H. Kim, Energies, Vol. 14, No. 2, pp.1-13, Jan. 2021.

  • [J2] Denoising Autoencoder-based Missing Value Imputation for Smart Meters 

[2nd author] S. Ryu, M. Kim, and H. Kim,  IEEE Access, Vol. 8, No. 1, pp.40656 - 40666, Mar. 2020.

  • [J1] Practical Operation Strategies for Energy Storage System Under Uncertainty 

[1st author] M. Kim, K. Kim, H. Choi, S. Lee and H. Kim, Energies, Vol. 12, No. 6, pp.1-14, Mar. 2019.

Conference Papers

  • [C5] Probabilistic Dynamic Line Rating Forecasting with Line Graph Convolutional LSTM

[1st author] M. Kim,  D. Vladimir, and J. Kim, 2025 IEEE Power & Energy Society General Meetings (PESGM), Mar. 2025

  • [C4] Unsupervised Learning to Solve AC Optimal Power Flow

[1st author] M. Kim,  and H. Kim, 2024 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm), Sep. 2024

  • [C3] AnyCast: Efficient Graph Learning for Large-Scale PV Forecasting with Extreme Missing Data

[2nd author] K. Song,  M.Kim, and H. Kim, 2024 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm), Sep. 2024

  • [C2] Projection-aware Deep Neural Network for DC Optimal Power Flow Without Constraint Violations

[1st author] M. Kim,  and H. Kim, 2022 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm), Oct. 2022

  • [C1] Managing Load Uncertainty Leveraging Real-time Scheduling of Energy Storage System 

[2nd author] K. Kim, M. Kim,  and H. Kim, IFAC Workshop on Control of Smart Grid and Renewable Energy Systems, Jun. 2019, pp.1-5. 

Experiences

Experience

  • IBM Quantum Developer Certification Program ( Oct. 2023 ~ Dec. 2023 )

  • Climate Change AI Summer School ( Jun. 2023 ~ Jul. 2023, CCAI )

  • Selected for Special Lecture on Algorithms ( Aug. 2018, Samsung SDS )

Teaching Experience

  • Artificial Intelligence Communications (TA)

  • Advanced Engineering Mathematics (TA)

Service

Reviewing

  • IEEE Internet of Things Journals

  • IEEE Transactions on Power Systems

  • IEEE Power & Energy Society General Meeting (PESGM) 2025


Patents

US

  • Home Energy Management System and Method Under Multiple Uncertainties

H. Kim and M. Kim, Pending

Korea

  • 다수의 불확실성을 고려한 가정 에너지 스케줄링 및 방법

H. Kim and M. Kim, Filed 2023-12-29. (10-2023-0197022)

Projects

Current

  • Federated Learning based Power System Distributed Intelligence for Energy Privacy Protection

  • Mobile Blockchain based Intelligent Healthcare Solution Education and Research Team for Disaster and Emergency

Past

  • Development of Realtime Diagnosis Technology of Home Energy Usage and Smart & Autonomous Control/Management System

  • Charging / Discharging Algorithms for Home Energy Storage System

  • Renewable Energy and Energy Storage System Based Base Station Operation for Energy Optimization and Smart Distribution Network Security

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