[1] O. Sadeghian and B. Mohammadi-Ivatloo, "Chance-constrained dynamic thermal line rating of power system for enhancing stochastic renewable penetration," Renewable Energy, p. 124030, 2025.
[2] C. N. Dimitriadis, E. G. Tsimopoulos, and M. C. Georgiadis, "Optimization-based economic analysis of energy storage technologies in a coupled electricity and natural gas market," Journal of Energy Storage, vol. 58, p. 106332, 2023.
[3] M. Kalantar-Neyestanaki and R. Cherkaoui, "Coordinating distributed energy resources and utility-scale battery energy storage system for power flexibility provision under uncertainty," IEEE Transactions on Sustainable Energy, vol. 12, no. 4, pp. 1853–1863, 2021.
[4] A. Shoferpour and A. Karimi, "Improving the flexibility of power systems using transportable battery, transmission switching, demand response, and flexible ramping product market in the presence of high wind power," IET Renewable Power Generation, vol. 17, no. 6, pp. 1413–1435, 2023.
[5] S. Seyedeh-Barhagh, M. Abapour, B. Mohammadi-Ivatloo, M. Shafie-Khah, and H. Laaksonen, "Optimal scheduling of a microgrid based on renewable resources and demand response program using stochastic and IGDT-based approach," Journal of Energy Storage, vol. 86, p. 111306, 2024.
[6] X. Lv, X. Li, and C. Xu, "A robust optimization model for capacity configuration of PV/battery/hydrogen system considering multiple uncertainties," International Journal of Hydrogen Energy, vol. 48, no. 21, pp. 7533–7548, 2023.
[7] P. P. Gupta, P. Jain, K. Chand Sharma, and R. Bhakar, "Stochastic scheduling of compressed air energy storage in DC SCUC framework for high wind penetration," IET Generation, Transmission & Distribution, vol. 13, no. 13, pp. 2747–2760, 2019.
[8] P. P. Gupta, P. Jain, V. Kalkhambkar, K. C. Sharma, and R. Bhakar, "Stochastic security constrained unit commitment with battery energy storage and wind power integration," International Transactions on Electrical Energy Systems, vol. 30, no. 10, p. e12556, 2020.
[9] V. Guerrero‐Mestre, Y. Dvorkin, R. Fernández‐Blanco, M. A. Ortega‐Vazquez, and J. Contreras, "Incorporating energy storage into probabilistic security‐constrained unit commitment," IET Generation, Transmission & Distribution, vol. 12, no. 18, pp. 4206–4215, 2018.
[10] M. Rahmani, S. H. Hosseinian, and M. Abedi, "Stochastic two-stage reliability-based security constrained unit commitment in smart grid environment," Sustainable Energy, Grids and Networks, vol. 22, p. 100348, 2020.
[11] A. G. Trojani, M. S. Moghaddam, and J. M. Baigi, "Stochastic security-constrained unit commitment considering electric vehicles, energy storage systems and flexible loads with renewable energy resources," Journal of Modern Power Systems and Clean Energy, 2023.
[12] Y. Zhang, K. Liu, X. Liao, L. Qin, and X. An, "Stochastic dynamic economic emission dispatch with unit commitment problem considering wind power integration," International Transactions on Electrical Energy Systems, vol. 28, no. 1, p. e2472, 2018.
[13] Y. Sun, Z. Li, W. Tian, and M. Shahidehpour, "A Lagrangian decomposition approach to energy storage transportation scheduling in power systems," IEEE Transactions on Power Systems, vol. 31, no. 6, pp. 4348–4356, 2016.
[14] M. A. Mirzaei et al., "Network‐constrained rail transportation and power system scheduling with mobile battery energy storage under a multi‐objective two‐stage stochastic programming," International Journal of Energy Research, vol. 45, no. 13, pp. 18827–18845, 2021.
[15] S. Yao, T. Zhao, H. Zhang, P. Wang, and L. Goel, "Two-stage stochastic scheduling of transportable energy storage systems for resilient distribution systems," in 2018 IEEE International Conference on Probabilistic Methods Applied to Power Systems (PMAPS), 2018: IEEE, pp. 1–6.
[16] M. A. Mirzaei, H. Mehrjerdi, and A. M. Saatloo, "Robust Strategic Behavior of a Large Multi-Energy Consumer in Electricity Market Considering Integrated Demand Response," IEEE Systems Journal, 2023.
[17] A. Talebi and A. Sadeghi‐Yazdankhah, "A Novel Uncertainty Management Method for Economic and Environmental Assessment of Gas‐Electricity Networks in the Presence of Flexible Resources," IET Renewable Power Generation, vol. 19, no. 1, p. e70113, 2025.
[18] A. Talebi, M. Agabalaye-Rahvar, B. Mohammadi-Ivatloo, K. Zare, and A. Anvari-Moghaddam, "An IGDT-stochastic model for low-carbon economic dispatch of integrated electricity-natural gas systems considering grid-enhancing technologies," IET Generation, Transmission & Distribution, 2024.
[19] S. Dorahaki, M. MollahassaniPour, M. Rashidinejad, P. Siano, and M. Shafie-khah, "A flexibility-oriented model for a sustainable local multi-carrier energy community: A hybrid multi-objective probabilistic-IGDT optimization approach," Applied Energy, vol. 377, p. 124678, 2025.
[20] K. Zare, A. Akbari-Dibavar, S. Najafi Ravadanegh, and V. Vahidinasab, "Resiliency-oriented scheduling of multi-microgrids in the presence of fuel cell-based mobile storage using hybrid stochastic-robust optimization," Journal of Energy Management and Technology, vol. 8, no. 4, pp. 307–320, 2024.
[21] N. Nasiri et al., "A robust bi-level optimization framework for participation of multi-energy service providers in integrated power and natural gas markets," Applied Energy, vol. 340, p. 121047, 2023.
[22] M. Tavakoli, M. Khosh Zat, S. Azad, and M. T. Ameli, "Day-Ahead Demand Response in Microgrid Operation Considering Renewable Uncertainty and Network Reconfiguration," Journal of Energy Management and Technology, vol. 10, no. 1, pp. 23–34, 2026.
[23] M.-A. Nasr, E. Nasr-Azadani, H. Nafisi, S. H. Hosseinian, and P. Siano, "Assessing the effectiveness of weighted information gap decision theory integrated with energy management systems for isolated microgrids," IEEE Transactions on Industrial Informatics, vol. 16, no. 8, pp. 5286–5299, 2019.
[24] Y. Zhang, M. Xiang, and Z. Zheng, "An IGDT-based decision model for industrial users participating in electricity and carbon markets considering differentiated power quality services," Energy, vol. 315, p. 134350, 2025.
[25] A. Nikoobakht, J. Aghaei, M. Shafie-Khah, and J. P. Catalão, "Continuous-time co-operation of integrated electricity and natural gas systems with responsive demands under wind power generation uncertainty," IEEE Transactions on Smart Grid, vol. 11, no. 4, pp. 3156–3170, 2020.
[26] M. Eslahi, B. Vahidi, and P. Siano, "Novel Time-Varying Risk-Averse and Risk-Seeker Frameworks for Uncertain Wind Energy Generation in Electric Power Systems," IEEE Access, 2024.
[27] E. A. Aghdam et al., "A new IGDT-based robust model for day-ahead scheduling of smart power system integrated with compressed air energy storage and dynamic rating of transformers and lines," Journal of Energy Storage, vol. 105, p. 114695, 2025.
[28] M. Tostado-Véliz, A. R. Jordehi, S. A. Mansouri, and F. Jurado, "A two-stage IGDT-stochastic model for optimal scheduling of energy communities with intelligent parking lots," Energy, vol. 263, p. 126018, 2023.
[29] A. Talebi, A. Mirzapour-Kamanaj, M. Agabalaye-Rahvar, B. Mohammadi-Ivatloo, K. Zare, and A. Anvari-Moghaddam, "Information Gap Decision Theory for Scheduling of Electricity-Gas Systems in the Presence of Demand Response," in 2021 IEEE International Conference on Environment and Electrical Engineering and 2021 IEEE Industrial and Commercial Power Systems Europe (EEEIC/I&CPS Europe), 2021: IEEE, pp. 1–6.