Min-Seung Ko

According to our database, Min-Seung Ko authored at least 12 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2026

Learning the Weather-Grid Nexus via Weather-to-Voltage (W2V) Predictive Modeling.

Sol Lim, Min-Seung Ko, Farnaz Safdarian, Hao Zhu

CoRR, April, 2026

LACE-S: Toward Sensitivity-consistent Locational Average Carbon Emissions via Neural Representation.

Young-ho Cho, Min-Seung Ko, Hao Zhu

CoRR, April, 2026

PGLib-CO2: A Power Grid Library for Real-Time Computation and Optimization of Carbon Emissions.

Young-ho Cho, Min-Seung Ko, Hao Zhu

Proceedings of the 17th ACM International Conference on Future and Sustainable Energy Systems, 2026

2025

Mitigation of Datacenter Demand Ramping and Fluctuation using Hybrid ESS and Supercapacitor.

Min-Seung Ko, Jae Woong Shim, Hao Zhu

CoRR, December, 2025

TRASE-NODEs: Trajectory Sensitivity-aware Neural Ordinary Differential Equations for Efficient Dynamic Modeling.

Fatima Al-Janahi, Min-Seung Ko, Hao Zhu

CoRR, October, 2025

Wide-Area Power System Oscillations from Large-Scale AI Workloads.

Min-Seung Ko, Hao Zhu

CoRR, August, 2025

PGLib-CO2: A Power Grid Library for Computing and Optimizing Carbon Emissions.

Young-ho Cho, Min-Seung Ko, Hao Zhu

CoRR, June, 2025

2022

Feedforward Error Learning Deep Neural Networks for Multivariate Deterministic Power Forecasting.

Min-Seung Ko, Kwangsuk Lee, Kyeon Hur

IEEE Trans. Ind. Informatics, 2022

2021

ConvNet-based Remaining Useful Life Prognosis of a Turbofan Engine.

Chang Woo Hong, Min-Seung Ko, Kyeon Hur

Proceedings of the 4th IEEE International Conference on Knowledge Innovation and Invention, 2021

2020

Remaining Useful Life Prognosis for Turbofan Engine Using Explainable Deep Neural Networks with Dimensionality Reduction.

Chang Woo Hong, Changmin Lee, Kwangsuk Lee, Min-Seung Ko, DaeEun Kim, Kyeon Hur

Sensors, 2020

Explainable Artificial Intelligence for the Remaining Useful Life Prognosis of the Turbofan Engines.

Chang Woo Hong, Changmin Lee, Kwangsuk Lee, Min-Seung Ko, Kyeon Hur

Proceedings of the 3rd IEEE International Conference on Knowledge Innovation and Invention, 2020

Multivariate Time Series Forecasting for Remaining Useful Life of Turbofan Engine Using Deep-Stacked Neural Network and Correlation Analysis.

Chang Woo Hong, Kwangsuk Lee, Min-Seung Ko, Jae-Kyeong Kim, Kyungwon Oh, Kyeon Hur

Proceedings of the 2020 IEEE International Conference on Big Data and Smart Computing, 2020