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Scopus Author ID: 57211030307

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South Korea

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Employment (2)

The University of Texas at Austin: Austin, Texas, US

2024-10-21 to 2025-10-20 | Postdoctoral Fellow (Chandra Family Department of Electrical and Computer Engineering)
Employment
Source: Self-asserted source
Min-Seung Ko

Net-Zero Laboratory: Seoul, Seoul, KR

2024-09-01 to 2024-10-20 | Researcher
Employment
Source: Self-asserted source
Min-Seung Ko

Education and qualifications (2)

Yonsei University: Seodaemun-gu, Seoul, KR

2018-09-01 to 2024-08-31 | Ph. D.
Education
Source: Self-asserted source
Min-Seung Ko

Yonsei University: Seodaemun-gu, Seoul, KR

2013-03 to 2018-08 | Bachelor's Degree (Electrical and Electronic Engineering)
Education
Source: Self-asserted source
Min-Seung Ko

Works (15)

Locating the Source of Oscillation With Two-Tier Dynamic Mode Decomposition Integrating Early-Stage Energy

IEEE Transactions on Power Systems
2024 | Journal article
DOI: 10.1109/TPWRS.2023.3336333
Contributors: Min-Seung Ko; Wooyoung Shin; Kai Sun; Kyeon Hur
Source: check_circle
Crossref

Estimation of Structural Mechanical Damping in Multi-mass of Turbine Generator for SSTI Study

Journal of Electrical Engineering and Technology
2022 | Journal article
DOI: 10.1007/s42835-022-01045-y
EID:

2-s2.0-85126886426

Part of ISSN: 20937423 19750102
Contributors: Shin, W.; Ko, M.-S.; Ku, H.-K.; Song, J.; Hur, K.
Source: Self-asserted source
Min-Seung Ko via Scopus - Elsevier

Feedforward Error Learning Deep Neural Networks for Multivariate Deterministic Power Forecasting

IEEE Transactions on Industrial Informatics
2022-09 | Journal article
DOI: 10.1109/TII.2022.3160628
Contributors: Min-Seung Ko; Kwangsuk Lee; Kyeon Hur
Source: check_circle
Crossref
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ConvNet-based Remaining Useful Life Prognosis of a Turbofan Engine

4th IEEE International Conference on Knowledge Innovation and Invention 2021, ICKII 2021
2021 | Conference paper
DOI: 10.1109/ICKII51822.2021.9574745
EID:

2-s2.0-85118968686
Contributors: Hong, C.W.; Ko, M.-S.; Hur, K.
Source: Self-asserted source
Min-Seung Ko via Scopus - Elsevier

Deep Concatenated Residual Network With Bidirectional LSTM for One-Hour-Ahead Wind Power Forecasting

IEEE Transactions on Sustainable Energy
2021-04 | Journal article
DOI: 10.1109/TSTE.2020.3043884
Contributors: Min-Seung Ko; Kwangsuk Lee; Jae-Kyeong Kim; Chang Woo Hong; Zhao Yang Dong; Kyeon Hur
Source: check_circle
Crossref
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Explainable artificial intelligence for the remaining useful life prognosis of the turbofan engines

Proceedings of the 3rd IEEE International Conference on Knowledge Innovation and Invention 2020, ICKII 2020
2020 | Conference paper
DOI: 10.1109/ICKII50300.2020.9318912
EID:

2-s2.0-85100581180
Contributors: Hong, C.W.; Lee, C.; Lee, K.; Ko, M.-S.; Hur, K.
Source: Self-asserted source
Min-Seung Ko via Scopus - Elsevier

Multivariate time series forecasting for remaining useful life of turbofan engine using deep-stacked neural network and correlation analysis

Proceedings - 2020 IEEE International Conference on Big Data and Smart Computing, BigComp 2020
2020 | Conference paper
DOI: 10.1109/BigComp48618.2020.00-98
EID:

2-s2.0-85084369197
Contributors: Hong, C.W.; Lee, K.; Ko, M.-S.; Kim, J.-K.; Oh, K.; Hur, K.
Source: Self-asserted source
Min-Seung Ko via Scopus - Elsevier

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

2020 IEEE International Conference on Big Data and Smart Computing (BigComp)
2020 | Conference paper
Source: Self-asserted source
Min-Seung Ko

Short-Term Power Load Forecasting of a Large Vessel using Deep Stacking Network Architecture

Transactions of the Korean Institute of Electrical Engineers
2020 | Journal article
DOI: 10.5370/KIEE.2020.69.4.534
EID:

2-s2.0-85084084839

Part of ISSN: 22874364 19758359
Contributors: Hong, C.W.; Ko, M.-S.; Kim, H.-R.; Kim, S.; Hur, K.
Source: Self-asserted source
Min-Seung Ko via Scopus - Elsevier

Short-Term Power Load Forecasting of a Large Vessel using Deep Stacking Network Architecture

Transactions of the Korean Institute of Electrical Engineers
2020 | Journal article
Source: Self-asserted source
Min-Seung Ko

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

Sensors
2020-11-19 | Journal article
DOI: 10.3390/s20226626
Contributors: Chang Woo Hong; Changmin Lee; Kwangsuk Lee; Min-Seung Ko; Dae Eun Kim; Kyeon Hur
Source: check_circle
Crossref
grade
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Distribution voltage regulation using combined local and central control based on real-time data

2019 IEEE Milan PowerTech, PowerTech 2019
2019 | Conference paper
DOI: 10.1109/PTC.2019.8810470
EID:

2-s2.0-85072329699
Contributors: Ko, M.-S.; Lim, S.-H.; Kim, J.-K.; Hur, K.
Source: Self-asserted source
Min-Seung Ko via Scopus - Elsevier

Distribution Voltage Regulation Using Combined Local and Central Control Based on Real-Time Data

2019 IEEE Milan PowerTech
2019 | Conference paper
Source: Self-asserted source
Min-Seung Ko

PV and Wind Generation Short-Term Forecasting based on a Multiple Residual Deep Learning

2019년도 제50회 대한전기학회 하계학술대회
2019-07 | Conference paper
Source: Self-asserted source
Min-Seung Ko

PV Volt/Var Droop Curve Using Active Power Curtailment with Voltage Sensitivity

2018년도 제49회 대한전기학회 하계학술대회
2018-07 | Conference paper
Source: Self-asserted source
Min-Seung Ko

Peer review (2 reviews for 1 publication/grant)

Review activity for Electric power systems research. (2)
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