Articles
The following papers are a list of the international academic papers I have authored up to now. My research interests are deep reinforcement learning, generative model, smart grid, and energy data analytics.
International Journal Papers
Denoising Masked Autoencoder-Based Missing Imputation within Constrained Environments for Electric Load Data
J. Jeong, T. Y. Ku and W. K. Park, Energies, Vol.16, No. 24, pp.1-18, Dec. 2023
Stochastic Optimization of Home Energy Management System Using Clustered Quantile Scenario Reduction
M. Kim, T. Park, J. Jeong and H. Kim, Applied Energy, Vol. 349, p. 121555, Nov. 2023
Convolutional Autoencoder-Based Anomaly Detection for Photovoltaic Power Forecasting of Virtual Power Plants
T. Park, K. J. Song, J. Jeong and H. Kim, Energies, Vol.16, No. 14, pp.1-20, Jul. 2023
Deep Reinforcement Learning based Real-time Renewable Energy Bidding with Battery Control
J. Jeong, S. W. Kim and H. Kim, IEEE Transactions on Energy Markets, Policy and Regulation, Vol. 1, No. 2, pp. 85-96, Jun. 2023
Best Paper Award in 2022 KICS Winter Conference
Autoencoder-based Recommender System Exploiting Natural Noise Removal
H. Park, J. Jeong, K. W. Oh and H. Kim, IEEE Access, Vol. 11, pp.30609-30618, Mar. 2023
DTTrans: PV Power Forecasting using Delaunay Triangulation and TransGRU
K. J. Song, J. Jeong, J. H. Moon, S. C. Kwon and H. Kim, Sensors, Vol. 23, No. 1, pp. 1-18, Dec. 2022
DeepComp: Deep Reinforcement Learning based Renewable Energy Error Compensable Forecasting
J. Jeong and H. Kim, Applied Energy, Vol. 294, p. 116970, Jul. 2021
Best Graduate Student Award from Sogang University in 2021
Missing-insensitive Short-term Load Forecasting Leveraging Autoencoder and LSTM
K. Park, J. Jeong, D. Kim and H. Kim, IEEE Access, Vol. 8, pp. 206039-206048, Nov. 2020
Multi-Site Photovoltaic Forecasting Exploiting Space-Time Convolutional Neural Network
J. Jeong and H. Kim, Energies, Vol. 12, No. 23, pp. 1-14, Nov. 2019
International Conference Papers
Time-Varying Constraint-Aware Reinforcement Learning for Energy Storage Control
J. Jeong, T. Y. Ku and W. K. Park, International Conference on Learning Representations (ICLR) 2024 Workshop: Climate Change AI, 2024, pp. 1-5
Accepted for a Spotlight Talk
Deep Reinforcement Learning based Renewable Energy Error Compensable Forecasting
J. Jeong and H. Kim, International Conference on Learning Representations (ICLR) 2020 Workshop: Climate Change AI, 2020, pp. 1-5
Director Award from KETI in 2020 KICS Fall Conference
Missing-insensitive Short-term Load Forecasting Leveraging Autoencoder and LSTM
K. Park, J. Jeong and H. Kim, International Conference on Learning Representations (ICLR) 2020 Workshop: Climate Change AI, 2020, pp. 1-5