[1] Haddad, H., Taghizadeh Yazdi, M., Zandieh, M., Heydari Dehui, J., Razavi Haji Agha, H. (2021). Presenting a Bi-Level programming approach for Unit commitment in Iran with minimization of greenhouse gas emission. Modern Research in Decision Making, 6(4), 55-74.
[2] Mardani, M., Fatemi Ardestani, S.F., Ghazizadeh, M.S., (2018), Essays In Iranian Wholesale Electricity Market, the Ph.D. degree Graduate Sharif University of Technology, Tehran, Iran. (In Persian)
[3] Shamsini Ghiasvand, F., Afsha, K., Bigdeli, N., (2015), optimal bidding strategy of power producers in pay-as-bid markets, , Imam Khomeini International University, the Degree of Master Graduate Ggazvin, Iran. (In Persian)
[4] Marzban, E., Mohammadi, M. (2021). Future Scenarios for power Management in Iran. Management Research in Iran, 20(3), 177-204.
[5] Aien, M., Rashidinejad, M., Fotuhi-Firuzabad, M., (2015), GENCO’s Decision Making Considering Power Market Uncertainties, the Ph.D. degree Graduate University of Advanced Technology, Energy Department, kerman, Iran. (In Persian)
[6] Vatani, B., Chowdhury, B., Dehghan, S., & Amjady, N. (2018). A critical review of robust self-scheduling for generation companies under electricity price uncertainty. International Journal of Electrical Power and Energy Systems, 97, 428–439.
[7] Jalilvand Nejad, A., Shafaei, R., (2016), Developing a Robust Model to Manage Power Selling in The Competitive Market, the Ph.D. degree Graduate, K. N. Toosi University of Technology, Tehran, Iran. (In Persian)
[8] Hamta, N., Ehsanifar, M., Moghaddasi, A. (2018). An Investigation of Iranian Entrepreneurs’ Decision Making Logic Based On Effectuation Theory. Modern Research in Decision Making, 2(4), 255-273.
[9] Valipour Khatir, M., Azar, A., Amini, M. (2021). Developing Performance Based Budgeting Model: Organizational Excellence Approach. Management Research in Iran, 21(2), 179-198.
[10] Kayedpour, F., Amiri, M., olfat, L., Pishvaee, M. (2021). Supply chain configuration based on dynamic pricing and robust optimization. Modern Research in Decision Making, 6(3), 156-187.
[11] Weron, R. (2014). Electricity price forecasting: A review of the state-of-the-art with a look into the future. International Journal of Forecasting, 30(4), 1030–1081.
[12] Itaba, S., & Mori, H. (2017). A Fuzzy-Preconditioned GRBFN Model for Electricity Price Forecasting. Procedia Computer Science, 114, 441–448.
[13] Sheikh-el-eslami, M. K., & Seifi, H. (2006). Short-term electricity price forecasting using a fuzzy stochastic predictor. IEEE Power Engineering Society General Meeting, 1–5.
[14] Nazari Farsani, V., Sheikh-El-Eslami, M.K., (2019), A New Approach for Interval Forecasting of Electricity Price based on Deep Learning, the Degree of Master Graduate Tarbiat Modares University, Tehran, Iran. (In Persian)
[15] Nowotarski, J., & Weron, R. (2014). Merging quantile regression with forecast averaging to obtain more accurate interval forecasts of Nord Pool spot prices. International Conference on the European Energy Market, EEM, 1, 0–4.
[16] Nowotarski, J., & Weron, R. (2015). Computing electricity spot price prediction intervals using quantile regression and forecast averaging. Computational Statistics, 30(3), 791–803.
[17] Parvaresh, M., Mohtavi Pour, S.S., (2017), Anew optimal bidding Strategy for Generation compahies (GENCOS), the Degree of Master University Of Guilan, Guilan, Iran. (In Persian)
[18] Esmaeily, A., Ahmadi, A., Raeisi, F., Ahmadi, M. R., Esmaeel Nezhad, A., & Janghorbani, M. (2017). Evaluating the effectiveness of mixed-integer linear programming for day-ahead hydro-thermal self-scheduling considering price uncertainty and forced outage rate. Energy, 122, 182–193.
[19] Yazdaninejad, M., & Amjady, N. (2017). Risk-minimizing stochastic self-scheduling model for microgrid in day-ahead electricity market. International Transactions on Electrical Energy Systems, 27(5). 1-18.
[20] Khaloie, H., Abdollahi, A., Rashidinejad, M., & Siano, P. (2019). Risk-based probabilistic-possibilistic self-scheduling considering high-impact low-probability events uncertainty. International Journal of Electrical Power and Energy Systems, 110, 598–612.
[21] Jiao, P. H., Chen, J. J., Qi, B. X., Zhao, Y. L., & Peng, K. (2019). Electricity price driven active distribution network planning considering uncertain wind power and electricity price. International Journal of Electrical Power and Energy Systems, 107, 422–437.
[22] Goroohi Sardou, I., & Ansari, M. (2020). Risk-constrained self-scheduling of a generation company considering natural gas flexibilities for wind energy integration. Journal of Renewable and Sustainable Energy, 12. 1-14
[23] Nojavan, S., Zare, K., & Mohammadi-Ivatloo, B. (2017). Robust bidding and offering strategies of electricity retailer under multi-tariff pricing. Energy Economics, 68, 359–372.
[24] Nojavan, S., & Zare, K. (2018). Interval optimization based performance of photovoltaic/wind/FC/electrolyzer/electric vehicles in energy price determination for customers by electricity retailer. Solar Energy, 171, 580–592.
[25] Mazzi, N., Kazempour, J., & Pinson, P. (2018). Price-Taker Offering Strategy in Electricity Pay-as-Bid Markets. IEEE Transactions on Power Systems, 33(2), 2175–2183.
[26] Jabari, F., Mohammadi-ivatloo, B., & Mohammadpourfard, M. (2019). Robust optimal self-scheduling of potable water and power producers under uncertain electricity prices. Applied Thermal Engineering, 162. 1-13
[27] Nojavan, S., Nourollahi, R., Pashaei-Didani, H., & Zare, K. (2019). Uncertainty-based electricity procurement by retailer using robust optimization approach in the presence of demand response exchange. International Journal of Electrical Power and Energy Systems, 105(January 2018), 237–248.
[28] Yazdaninejad, M., Amjady, N., & Dehghan, S. (2020). VPP Self-Scheduling Strategy Using Multi-Horizon IGDT, Enhanced Normalized Normal Constraint, and Bi-Directional Decision-Making Approach. IEEE Transactions on Smart Grid, 11(4), 3632–3645.
[29] Najafi, A., Pourakbari-Kasmaei, M., Jasinski, M., Lehtonen, M., & Leonowicz, Z. (2022). A medium-term hybrid IGDT-Robust optimization model for optimal self scheduling of multi-carrier energy systems. Energy, 238. 1-15
[30] Dehghan, E., Shafiei, M., Amiri, M., & Jabbarzadeh, A. (2018). Hybrid robust , stochastic and possibilistic programming for closed-loop supply chain network design. Computers & Industrial Engineering 123, 220–231.
[31] Farhadi, H., Zangiabadi, M., Mansouri, H., (2014), Methods For Solving Fuzzy Two-Level Programming Problems, the Degree of Master Graduate Shahrood University, Shahrood, Iran. (In Persian)