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Min K. Sim
Min K. Sim
Associate Professor of Data Science, Seoul National University of Science and Technology (SeoulTech)
在 seoultech.ac.kr 的电子邮件经过验证
标题
引用次数
引用次数
年份
A two-step approach to solar power generation prediction based on weather data using machine learning
SG Kim, JY Jung, MK Sim
Sustainability 11 (5), 1501, 2019
1192019
An intelligent financial portfolio trading strategy using deep Q-learning
H Park, MK Sim, DG Choi
Expert Systems with Applications 158, 113573, 2020
1092020
PVHybNet: A hybrid framework for predicting photovoltaic power generation using both weather forecast and observation data
B Carrera, MK Sim, JY Jung
IET Renewable Power Generation 14 (12), 2192-2201, 2020
242020
Stock price prediction using sentiment analysis: From “stock discussion room” in naver
M Kim, J Ryu, D Cha, MK Sim
Journal of Society for e-Business Studies 25 (4), 2022
202022
An optimal purchase decision of reusable packaging in the automotive industry
B Na, MK Sim, WJ Lee
Sustainability 11 (23), 6579, 2019
162019
A quadratic programming-based power dispatch method for a DC-microgrid
C Yoon, Y Park, MK Sim, YI Lee
IEEE Access 8, 211924-211936, 2020
152020
The winning probability of a game and the importance of points in tennis matches
MK Sim, DG Choi
Research Quarterly for Exercise and Sport 91 (3), 361-372, 2020
152020
Review on integration of smart grid into smart city
MK Sim
Journal of Society for e-Business Studies 25 (1), 2020
62020
Optimal energy storage system control using a Markovian degradation model—Reinforcement learning approach
J Park, T Kwon, MK Sim
Journal of Energy Storage 71, 107964, 2023
52023
What can cluster analysis offer in investing?-Measuring structural changes in the investment universe
MK Sim, S Deng, X Huo
International Review of Economics & Finance 71, 299-315, 2021
22021
Wind power generation prediction based on weather forecast data using deep neural networks
MW Baek, MK Sim, JY Jung
ICIC Express Letters, Part B: Applications 11 (9), 863-868, 2020
22020
Concise rule induction algorithm based on one-sided maximum decision tree approach
JS Hong, J Lee, MK Sim
Expert Systems with Applications 237, 121365, 2024
12024
A short review on predictions for wind power generation–its limitation and future directions
MK Sim, JY Jung
ICIC Express Lett, Part B: Appl 11 (10), 995-1000, 2020
12020
A quadratic formulation of ESS degradation and optimal DC microgrid operation strategy using quadratic programming
KJ Choi, J Park, T Kwon, S Kwon, D Kwon, YI Lee, MK Sim
IEEE Access, 2024
2024
Twin-system recurrent reinforcement learning for optimizing portfolio strategy
H Park, MK Sim, DG Choi
Expert Systems with Applications, 124193, 2024
2024
Optimal continuous control of refrigerator for electricity cost minimization—Hierarchical reinforcement learning approach
B Kim, J An, MK Sim
Sustainable Energy, Grids and Networks 36, 101177, 2023
2023
Multi-Agent Reinforcement Learning Based Optimal PV-ESS Control In Grid
J Park, T Kwon, B Kim, Y Hwang, MK Sim
2023 IEEE IAS Global Conference on Renewable Energy and Hydrogen …, 2023
2023
Estimation of level-I hidden liquidity using the dynamics of limit order-book
MK Sim, S Deng
Physica A: Statistical Mechanics and its Applications 540, 122703, 2020
2020
EMPIRICAL FINDINGS IN ASSET PRICE DYNAMICS REVEALED BY QUANTITATIVE MODELLING
MK Sim
Georgia Institute of Technology, 2014
2014
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