Hongseok Kim

Hongseok Kim

Sogang University

H-index: 30

Asia-South Korea

About Hongseok Kim

Hongseok Kim, With an exceptional h-index of 30 and a recent h-index of 20 (since 2020), a distinguished researcher at Sogang University, specializes in the field of Power Systems, Energy AI, Optimization, Networks.

His recent articles reflect a diverse array of research interests and contributions to the field:

FedAND: Federated Learning Exploiting Consensus ADMM by Nulling Drift

Sector Coupling and Migration towards Carbon-Neutral Power Systems

Stochastic optimization of home energy management system using clustered quantile scenario reduction

Convolutional Autoencoder-Based Anomaly Detection for Photovoltaic Power Forecasting of Virtual Power Plants

Autoencoder-Based Recommender System Exploiting Natural Noise Removal

Deep reinforcement learning based real-time renewable energy bidding with battery control

Dttrans: Pv power forecasting using delaunay triangulation and transgru

Markov chain score ascent: A unifying framework of variational inference with Markovian gradients

Hongseok Kim Information

University

Position

Professor of Electronic Engineering

Citations(all)

4462

Citations(since 2020)

2223

Cited By

3034

hIndex(all)

30

hIndex(since 2020)

20

i10Index(all)

60

i10Index(since 2020)

40

Email

University Profile Page

Sogang University

Google Scholar

View Google Scholar Profile

Hongseok Kim Skills & Research Interests

Power Systems

Energy AI

Optimization

Networks

Top articles of Hongseok Kim

Title

Journal

Author(s)

Publication Date

FedAND: Federated Learning Exploiting Consensus ADMM by Nulling Drift

IEEE Transactions on Industrial Informatics

Heejoo Kang

Minsoo Kim

Bumsuk Lee

Hongseok Kim

2024/4/26

Sector Coupling and Migration towards Carbon-Neutral Power Systems

Energies

Minjae Son

Minsoo Kim

Hongseok Kim

2023/2/14

Stochastic optimization of home energy management system using clustered quantile scenario reduction

Applied Energy

Minsoo Kim

Taeseop Park

Jaeik Jeong

Hongseok Kim

2023/11/1

Convolutional Autoencoder-Based Anomaly Detection for Photovoltaic Power Forecasting of Virtual Power Plants

Energies

Taeseop Park

Keunju Song

Jaeik Jeong

Hongseok Kim

2023/7/11

Autoencoder-Based Recommender System Exploiting Natural Noise Removal

IEEE Access

Hyeseong Park

Jaeik Jeong

Kyung-Whan Oh

Hongseok Kim

2023/3/27

Deep reinforcement learning based real-time renewable energy bidding with battery control

IEEE Transactions on Energy Markets, Policy and Regulation

Jaeik Jeong

Seung Wan Kim

Hongseok Kim

2023/3/17

Dttrans: Pv power forecasting using delaunay triangulation and transgru

Sensors

Keunju Song

Jaeik Jeong

Jong-Hee Moon

Seong-Chul Kwon

Hongseok Kim

2022/12/23

Markov chain score ascent: A unifying framework of variational inference with Markovian gradients

Advances in Neural Information Processing Systems

Kyurae Kim

Jisu Oh

Jacob R Gardner

Adji Bousso Dieng

Hongseok Kim

2022/6/13

Projection-aware deep neural network for dc optimal power flow without constraint violations

Minsoo Kim

Hongseok Kim

2022/10/25

Carbon-Neutral Cellular Network Operation Based on Deep Reinforcement Learning

Energies

Hojin Kim

Jaewoo So

Hongseok Kim

2022/6/20

Markov-chain monte carlo score estimators for variational inference with score climbing

Kyurae Kim

Jisu Oh

Hongseok Kim

2022

DeepComp: Deep reinforcement learning based renewable energy error compensable forecasting

Applied Energy

Jaeik Jeong

Hongseok Kim

2021/7/15

Cloud energy storage system operation with capacity P2P transaction

Energies

Jungsub Sim

Minsoo Kim

Dongjoo Kim

Hongseok Kim

2021/1/9

Direct energy trading of microgrids in distribution energy market

IEEE Transactions on Power Systems

Hongseok Kim

Joohee Lee

Shahab Bahrami

Vincent WS Wong

2020/1

Missing-insensitive short-term load forecasting leveraging autoencoder and LSTM

IEEE Access

Kyungnam Park

Jaeik Jeong

Dongjoo Kim

Hongseok Kim

2020/11/9

Denoising autoencoder-based missing value imputation for smart meters

IEEE Access

Seunghyoung Ryu

Minsoo Kim

Hongseok Kim

2020/2/27

LSTM-based battery remaining useful life prediction with multi-channel charging profiles

Ieee Access

Kyungnam Park

Yohwan Choi

Won Jae Choi

Hee-Yeon Ryu

Hongseok Kim

2020/1/23

See List of Professors in Hongseok Kim University(Sogang University)

Co-Authors

H-index: 146
Robert Heath

Robert Heath

North Carolina State University

H-index: 58
Chan-Byoung Chae

Chan-Byoung Chae

Yonsei University

H-index: 55
Junshan Zhang

Junshan Zhang

Arizona State University

H-index: 33
Sangtae Ha

Sangtae Ha

University of Colorado Boulder

H-index: 25
Lei Yang

Lei Yang

University of Nevada, Reno

H-index: 14
Jaehwan Lee

Jaehwan Lee

Korea Aerospace University

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