KIEE - The Transactions of the Korean Institute of Electrical Engineers

1

Y. Jin, C. Gao, "Market Applications and Uncertainty Handling for Virtual Power Plants," Energies, vol. 18, no. 14, 2025.

2

N. Naval, J. M. Yusta, "Virtual Power Plant Models and Electricity Markets - A Review," Renewable and Sustainable Energy Reviews, vol. 149, 2021.

3

A. N. Elmachtoub, P. Grigas, "Smart ‘Predict, then Optimize’," Management Science, vol. 68, no. 1, pp. 9-26, 2022.

4

H. Zhang, R. Li, Q. Du, J. Tao, S. Pineda, "Decision-Focused Learning for Power System Decision-Making Under Uncertainty," IEEE Transactions on Power Systems, vol. 41, no. 1, pp. 307-323, 2026.

5

H. Gao, T. Jin, C. Feng, C. Li, Q. Chen, "Review of Virtual Power Plant Operations: Resource Coordination and Multidimensional Interaction," Applied Energy, vol. 357, 2024.

6

S. Yu, F. Fang, Y. Liu, J. Liu, "Uncertainties of Virtual Power Plant: Problems and Countermeasures," Applied Energy, vol. 239, pp. 454-470, 2019.

7

X. Liu, C. Gao, "Review and Prospects of Artificial Intelligence Technology in Virtual Power Plants," Energies, vol. 18, no. 13, 2025.

8

B. Wilder, B. Dilkina, M. Tambe, "Melding the Data-Decisions Pipeline: Decision-Focused Learning for Combinatorial Optimization," vol. 33, no. 1, pp. 1658-1665, Proceedings of the AAAI Conference on Artificial Intelligence, 2019.

9

J. Kotary, F. Fioretto, P. Van Hentenryck, B. Wilder, "End-to-End Constrained Optimization Learning: A Survey," pp. 4475-4482, Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021.

10

J. Mandi, J. Kotary, S. Berden, M. Mulamba, V. Bucarey, "Decision-Focused Learning: Foundations, State of the Art, Benchmark and Future Opportunities," Journal of Artificial Intelligence Research, vol. 80, pp. 1623-1701, 2024.

11

"Electricity Market Operation Rules," Korea Power Exchange (KPX), 2026.

12

M. Á. Muñoz, J. M. Morales, S. Pineda, "Feature-Driven Improvement of Renewable Energy Forecasting and Trading," IEEE Transactions on Power Systems, vol. 35, no. 5, pp. 3753-3763, 2020.

13

H. Wen, P. Pinson, "Value-Oriented Forecast Reconciliation for Renewables in Electricity Markets," European Journal of Operational Research, vol. 332, no. 2, pp. 492-504, 2026.

14

T. Carriere, G. Kariniotakis, "An Integrated Approach for Value-Oriented Energy Forecasting and Data-Driven Decision-Making: Application to Renewable Energy Trading," IEEE Transactions on Smart Grid, vol. 10, no. 6, pp. 6933-6944, 2019.

15

A. Stratigakos, A. Michiorri, G. Kariniotakis, "A Value-Oriented Price Forecasting Approach to Optimize Trading of Renewable Generation," pp. 1-6, Proceedings of 2021 IEEE Madrid PowerTech, 2021.

16

A. Stratigakos, S. Camal, A. Michiorri, G. Kariniotakis, "Prescriptive Trees for Integrated Forecasting and Optimization Applied in Trading of Renewable Energy," IEEE Transactions on Power Systems, vol. 37, no. 6, pp. 4696-4708, 2022.

17

A. F. Alrasheedi, K. A. Alnowibet, A. M. Alshamrani, "A Smart Predict-and-Optimize Framework for Microgrid’s Bidding Strategy in a Day-Ahead Electricity Market," Electric Power Systems Research, vol. 228, 2024.

18

B. Vatandoust, K. Bruninx, J.-F. Toubeau, F. Vallée, "Price-Based Demand Response Participation in Implicit Balancing Services: A Value-Oriented Inverse Optimization Framework," IEEE Transactions on Energy Markets, Policy and Regulation, vol. 4, no. 2, pp. 184-197, 2026.

19

L. Sang, Y. Xu, H. Long, Q. Hu, H. Sun, "Electricity Price Prediction for Energy Storage System Arbitrage: A Decision-Focused Approach," IEEE Transactions on Smart Grid, vol. 13, no. 4, pp. 2822-2832, 2022.

20

H. Chen, Y. Xu, H. Sun, "Multi-Task Decision-Oriented Electricity Price Prediction for Virtual Energy Storage Arbitrage," pp. 1-5, Proceedings of 2025 IEEE Power & Energy Society General Meeting, IEEE, 2025.

21

M. Yi, S. Alghumayjan, B. Xu, "Perturbed Decision-Focused Learning for Modeling Strategic Energy Storage," IEEE Transactions on Smart Grid, vol. 16, no. 3, pp. 2574-2586, 2025.

22

A. Paredes, J.-F. Toubeau, J. A. Aguado, F. Vallée, "On the Participation of Energy Storage Systems in Reserve Markets Using Decision-Focused Learning," Sustainable Energy, Grids and Networks, vol. 42, 2025.

23

J. Kang, Y.-S. Kim, "Decision-Focused Learning to Bridge the Prediction-Operation Gap in Energy Storage System Participation in Reserve Markets," pp. 1-5, Proceedings of 2026 IEEE Power & Energy Society International Meeting (PES IM), IEEE, 2026.

24

C. Dupont, P. Favaro, F. Vallée, B. François, J.-F. Toubeau, "Decision-Focused Learning for Optimized Participation of an Industrial Consumer in Energy-Only and Reserve Markets," pp. 1-5, Proceedings of 2024 IEEE PES Innovative Smart Grid Technologies Europe, IEEE, 2024.

25

C. Zhao, C. Wan, Y. Song, "Operating Reserve Quantification Using Prediction Intervals of Wind Power: An Integrated Probabilistic Forecasting and Decision Methodology," IEEE Transactions on Power Systems, vol. 36, no. 4, pp. 3701-3714, 2021.

26

J. Depoortere, H. S. Kazmi, J. Driesen, "Decision-Focused Learning for Optimal PV-Battery Scheduling," Journal of Energy Storage, vol. 154, no. Part A, 2026.

27

N. Alkhulaifi, I. G. Dogan, T. R. Cargan, A. L. Bowler, D. Pekaslan, "Decision-Focused Learning Enhanced by Automated Feature Engineering for Energy Storage Optimisation," Expert Systems with Applications, vol. 302, 2026.

28

W. Zheng, L. Liu, S. Li, Z. Zhang, P. Zhao, "Smart Predict-then-Optimize-Based Model Predictive Control for Virtual Power Plants with Battery Storage," Journal of Energy Storage, vol. 142, 2026.

29

G. Wang, Z. Lin, X. Zhong, H. Ji, P. Li, "Decision-Focused Learning Integrated with Data-Driven Robust Optimization for Energy Management," Applied Energy, vol. 408, 2026.

30

Y. Zhang, J. Han, Y. Shi, "Risk-Aware Value-Oriented Net Demand Forecasting for Virtual Power Plants," pp. 460-465, Proceedings of 2024 56th North American Power Symposium, IEEE, 2024.

31

X. Chen, Y. Yang, Y. Liu, L. Wu, "Feature-Driven Economic Improvement for Network-Constrained Unit Commitment: A Closed-Loop Predict-and-Optimize Framework," IEEE Transactions on Power Systems, vol. 37, no. 4, pp. 3104-3118, 2022.

32

Y. Wang, L. Wu, "Improving Economic Values of Day-Ahead Load Forecasts to Real-Time Power System Operations," IET Generation, Transmission & Distribution, vol. 11, no. 17, pp. 4238-4247, 2017.

33

J. Dias Garcia, A. Street, T. Homem-de-Mello, F. D. Muñoz, "Application-Driven Learning: A Closed-Loop Prediction and Optimization Approach Applied to Dynamic Reserves and Demand Forecasting," Operations Research, vol. 73, no. 1, pp. 22-39, 2025.

34

Y. Zhang, M. Jia, H. Wen, Y. Bian, Y. Shi, "Toward Value-Oriented Renewable Energy Forecasting: An Iterative Learning Approach," IEEE Transactions on Smart Grid, vol. 16, no. 2, pp. 1962-1974, 2025.

35

D. Bertsimas, N. Kallus, "From Predictive to Prescriptive Analytics," Management Science, vol. 66, no. 3, pp. 1025-1044, 2020.

36

R. Mieth, H. V. Poor, "Prescribed Robustness in Optimal Power Flow," Electric Power Systems Research, vol. 235, 2024.

37

Y. Zhang, H. Wen, Q. Wu, "A Contextual Bandit Approach for Value-Oriented Prediction Interval Forecasting," IEEE Transactions on Smart Grid, vol. 15, no. 2, pp. 2271-2281, 2024.

38

C. Zhao, C. Wan, Y. Song, "Cost-Oriented Prediction Intervals: On Bridging the Gap between Forecasting and Decision," IEEE Transactions on Power Systems, vol. 37, no. 4, pp. 3048-3062, 2022.

KIEEThe Transactions of
the Korean Institute of Electrical Engineers

The Transactions of the Korean Institute of Electrical Engineers

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KIEEThe Transactions ofthe Korean Institute of Electrical Engineers