DongKwan Kim
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Previous Organizations / Institutes
The organizations / institutes from the scholar's other articles in the past ten years
DongKwan Kim has a total of 8 co-authors. Here are the top co-authors by number of shared publications:
- Sung-Kwan Joo
School of Electrical Engineering, Korea University, Seoul, Republic of Korea
3 shared publications - Jinyeong Lee
Electricity Policy Research Center, Korea Electrotechnology Research Institute (KERI), Uiwang 16029, Republic of Korea
2 shared publications - Young-Min Wi
College of Convergence Engineering, Sangmyung University, Seoul, Republic of Korea
2 shared publications - Hanung Nam
Department of Electrical and Computer Engineering, Korea University, Seoul, Republic of Korea
1 shared publication - Hwanuk Yu
Department of Electrical and Computer Engineering, Korea University, Seoul, Republic of Korea
1 shared publication - Jungmin An
School of Electrical Engineering, Anam Campus, Korea University, 145 Anam-ro, Seongbuk-gu, Seoul 02841, Korea
1 shared publication
Latest Publications
- 16 May 2026
- Published by Springer Nature in Journal of Electrical Engineering & Technology
- Vol. 21 (5) , 1-19
Practical Framework of Day-Ahead Load Forecast for Jeju Power System Operation Using Ensemble Model
- 16 May 2026
- Published by Springer Nature in Journal of Electrical Engineering & Technology
- Vol. 21 (5) , 1-19
Practical Framework of Day-Ahead Load Forecast for Jeju Power System Operation Using Ensemble Model
- Open Access
- 24 September 2021
- Published by MDPI AG in Sustainability
- Vol. 13 (19) , 10613
Least Squares Monte Carlo Simulation-Based Decision-Making Method for Photovoltaic Investment in Korea
Solar power for clean energy is an important asset that will drive the future of sustainable energy generation. As interest in sustainable energy increases with Korea’s renewable energy expansion plan, a strategy for photovoltaic investment (PV) is important from an investor’s point of view. Previous research primarily focused on assessing and analyzing the impact of the volatility but paid little attention to the modeling decision-making project to obtain the optimal investment timing. This paper utilizes a Least Squares Monte Carlo-based method for determining the timing of PV plant investment. The proposed PV decision-making method is designed to simulate the total PV generation revenue period with all uncertain PV price factors handled before determining the optimal investment time. The numerical studies with nine different scenarios considering system marginal price (SMP) and renewable energy certificate (REC) spot market price in Korea demonstrated how to determine the optimal investment time for different PV capacities. Therefore, the proposed method can be used as a decision-making tool to provide PV investors with information on the best time to invest in the renewable energy market.
- 24 September 2021
- Published by MDPI AG in Sustainability
- Vol. 13 (19) , 10613
Open AccessLeast Squares Monte Carlo Simulation-Based Decision-Making Method for Photovoltaic Investment in Korea
Solar power for clean energy is an important asset that will drive the future of sustainable energy generation. As interest in sustainable energy increases with Korea’s renewable energy expansion plan, a strategy for photovoltaic investment (PV) is important from an investor’s point of view. Previous research primarily focused on assessing and analyzing the impact of the volatility but paid little attention to the modeling decision-making project to obtain the optimal investment timing. This paper utilizes a Least Squares Monte Carlo-based method for determining the timing of PV plant investment. The proposed PV decision-making method is designed to simulate the total PV generation revenue period with all uncertain PV price factors handled before determining the optimal investment time. The numerical studies with nine different scenarios considering system marginal price (SMP) and renewable energy certificate (REC) spot market price in Korea demonstrated how to determine the optimal investment time for different PV capacities. Therefore, the proposed method can be used as a decision-making tool to provide PV investors with information on the best time to invest in the renewable energy market.