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Jaeik Jeong
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Multi-Site Photovoltaic Forecasting Exploiting Space-Time Convolutional Neural Network
J Jeong, H Kim
Energies 12 (23), 4490, 2019
542019
Missing-insensitive short-term load forecasting leveraging autoencoder and LSTM
K Park, J Jeong, D Kim, H Kim
IEEE Access 8, 206039-206048, 2020
242020
Stochastic optimization of home energy management system using clustered quantile scenario reduction
M Kim, T Park, J Jeong, H Kim
Applied Energy 349, 121555, 2023
232023
DeepComp: Deep reinforcement learning based renewable energy error compensable forecasting
J Jeong, H Kim
Applied Energy 294, 116970, 2021
232021
Deep reinforcement learning based real-time renewable energy bidding with battery control
J Jeong, SW Kim, H Kim
IEEE Transactions on Energy Markets, Policy and Regulation 1 (2), 85-96, 2023
132023
DTTrans: PV Power Forecasting Using Delaunay Triangulation and TransGRU
K Song, J Jeong, JH Moon, SC Kwon, H Kim
Sensors 23 (1), 144, 2022
112022
Convolutional Autoencoder-Based Anomaly Detection for Photovoltaic Power Forecasting of Virtual Power Plants
T Park, K Song, J Jeong, H Kim
Energies 16 (14), 5293, 2023
92023
Autoencoder-Based Recommender System Exploiting Natural Noise Removal
H Park, J Jeong, KW Oh, H Kim
IEEE Access 11, 30609-30618, 2023
62023
Denoising Masked Autoencoder-Based Missing Imputation within Constrained Environments for Electric Load Data
J Jeong, TY Ku, WK Park
Energies 16 (24), 7933, 2023
32023
Deep reinforcement learning based renew-able energy error compensable forecasting
J Jeong, H Kim
ICLR 2020 Workshop: Tackling Climate Change with Machine Learning, 1-5, 2020
22020
Time-Varying Constraint-Aware Reinforcement Learning for Energy Storage Control
J Jeong, TY Ku, WK Park
ICLR 2024 Workshop: Tackling Climate Change with Machine Learning, 1-6, 2024
12024
Exploring the Preference for Discrete over Continuous Reinforcement Learning in Energy Storage Arbitrage
J Jeong, TY Ku, WK Park
Energies 17 (23), 5876, 2024
2024
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