[1]. Karaaslan, A., & Gezen, M. (2022). The evaluation of renewable energy resources in Turkey by integer multi-objective selection problem with interval coefficient. Renewable Energy, 182, 842–854. https://doi.org/10.1016/J.RENENE.2021.10.053
[2]. Thirunavukkarasu, G. S., Seyedmahmoudian, M., Jamei, E., Horan, B., Mekhilef, S., & Stojcevski, A. (2022). Role of optimization techniques in microgrid energy management systems—A review. Energy Strategy Reviews, 43, 100899.
https://doi.org/10.1016/J.ESR.2022.100899
[3]. Morales-España, G., Martínez-Gordón, R., & Sijm, J. (2022). Classifying and modelling demand response in power systems. Energy, 242, 122544.
https://doi.org/10.1016/J.ENERGY.2021.122544
[4]. Ashkan Niusha, A., Adel Azar, A., Moazzez, H. & Heydari, K. (2021). A Multi-objective Optimization Model for Iran's Renewable Power Portfolio. Management Research in Iran, 23, 171-191. [in Persian]
[5]. Marzban., E & Mohammadi, M. (2021). Future Scenarios for power Management in Iran. Management Research in Iran, 20, 176-204.
https://dorl.net/dor/20.1001.1.2322200.1395.20.3.8.7 [in Persian]
[6]. Li, L., Zheng, Y., Zheng, S., & Ke, H. (2020). The new smart city programme: Evaluating the effect of the internet of energy on air quality in China. Science of The Total Environment, 714, 136380. https://doi.org/10.1016/J.SCITOTENV.2019.136380
[7]. Haddad., H., Taghizadeh Yazdi., M., Zandieh., M., Jalili Heydari Dehui., J. & Razavi Haji Agha, H. (2022). Presenting a Bi-Level programming approach for Unit commitment in Iran with minimization of greenhouse gas emission, Modern researches in decision making, 6, 55-74.
https://dorl.net/dor/20.1001.1.24766291.1400.6.4.3.7. [in Persian]
[8]. Khaji., M., maghsoud amiri., M. & Taghi Taghavifard, M. (2022). Robust Bidding Strategy for Thermal Power Generation Company in Competitive Electricity Market, Modern researches in decision making, 7, 90-118.
https://dorl.net/dor/ 20.1001.1.24766291.1401.7.3.4.9. [in Persian]
[9]. Aminian., M & Jadid, S. (2016). Optimized Energy Management in Smart Buildings with Energy Trading, Journal of Iranian Association of Electrical and Electronics Engineers, 13, 105-116.
https://doi.org/20.1001.1.26765810.1395.13.3.11.9. [in Persian]
[10]. Aghajani, G. R., Shayanfar, H. A., & Shayeghi, H. (2015). Presenting a multi-objective generation scheduling model for pricing demand response rate in micro-grid energy management. Energy Conversion and Management, 106, 308–321.
https://doi.org/10.1016/J.ENCONMAN.2015.08.059.
[11]. Khan, A. R., Mahmood, A., Safdar, A., Khan, Z. A., & Khan, N. A. (2016). Load forecasting, dynamic pricing and DSM in smart grid: A review. Renewable and Sustainable Energy Reviews, 54, 1311–1322.
https://doi.org/10.1016/J.RSER.2015.10.117
[12]. Wang, G., Gao, Y., Feng, J., Song, J., Jia, D., Li, G., Li, Y., & Vartosh, A. (2023). Optimal stochastic scheduling in residential micro energy grids considering pumped-storage unit and demand response. Energy Strategy Reviews, 49(August), 101172. https://doi.org/10.1016/j.esr.2023.101172
[13]. Bodong, S., Wiseong, J., Chengmeng, L., & Khakichi, A. (2023). Economic management and planning based on a probabilistic model in a multi-energy market in the presence of renewable energy sources with a demand-side management program. Energy, 269, 126549. https://doi.org/10.1016/j.energy.2022.126549
[14]. Lu, X., Li, H., Zhou, K., & Yang, S. (2023). Optimal load dispatch of energy hub considering uncertainties of renewable energy and demand response. Energy, 262, 125564. https://doi.org/10.1016/j.energy.2022.125564
[15]. Yang, S. X., Nie, T. qi, & Li, C. C. (2022). Research on the contribution of regional Energy Internet emission reduction considering time-of-use tariff. Energy, 239, 122170. https://doi.org/10.1016/J.ENERGY.2021.122170
[16]. Abdulnasser, G., Ali, A., Shaaban, M. F., & Mohamed, E. E. M. (2022). Stochastic multi-objectives optimal scheduling of energy hubs with responsive demands in smart microgrids. Journal of Energy Storage, 55, 105536.
https://doi.org/10.1016/J.EST.2022.105536
[17]. Eghbali, N., Hakimi, S. M., Hasankhani, A., Derakhshan, G., & Abdi, B. (2022). Stochastic energy management for a renewable energy based microgrid considering battery, hydrogen storage, and demand response. Sustainable Energy, Grids and Networks, 30, 100652. https://doi.org/10.1016/J.SEGAN.2022.100652
[18]. Jalilian, F., Mirzaei, M. A., Zare, K., Mohammadi-Ivatloo, B., Marzband, M., & Anvari-Moghaddam, A. (2022). Multi-energy microgrids: An optimal despatch model for water-energy nexus. Sustainable Cities and Society, 77, 103573.
https://doi.org/10.1016/J.SCS.2021.103573
[19]. Niazvand, F., Kharrati, S., Khosravi, F., & Rastgou, A. (2021). Scenario-based assessment for optimal planning of multi-carrier hub-energy system under dual uncertainties and various scheduling by considering CCUS technology. Sustainable Energy Technologies and Assessments, 46, 101300.
https://doi.org/10.1016/J.SETA.2021.101300
[20]. Monemi, M., Karimi, H., Jadid, S., & Anvari-moghaddam, A. (2021). Stochastic electrical and thermal energy management of energy hubs integrated with demand response programs and renewable energy : A prioritized multi-objective framework. Electric Power Systems Research, 196(September 2020), 107183.
https://doi.org/10.1016/j.epsr.2021.107183
[21]. Lu, X., Liu, Z., Ma, L., Wang, L., Zhou, K., & Yang, S. (2020). A robust optimization approach for coordinated operation of multiple energy hubs. Energy, 197.
https://doi.org/10.1016/j.energy.2020.117171
[22]. Cao, Y., Wang, Q., Du, J., Nojavan, S., Jermsittiparsert, K., & Ghadimi, N. (2019). Optimal operation of CCHP and renewable generation-based energy hub considering environmental perspective: An epsilon constraint and fuzzy methods. Sustainable Energy, Grids and Networks, 20, 100274. https://doi.org/10.1016/j.segan.2019.100274
[23]. Eshraghi, A., Salehi, G., Heibati, S., & Lari, K. (2019). An enhanced operation model for energy storage system of a typical combined cool , heat and power based on demand response program : The application of mixed integer linear programming. Building Services Engineering Research & Technology, 40(1), 47–74. https://doi.org/10.1177/0143624418792475
[24]. Shafiee, F., Kazemi, A., Jafarnejad Chaghooshi, A., Sazvar, Z., & Amoozad Mahdiraji, H. (2021). A robust multi-objective optimization model for inventory and production management with environmental and social consideration: A real case of dairy industry. Journal of Cleaner Production, 294, 126230.
https://doi.org/10.1016/J.JCLEPRO.2021.126230
[25]. SoltaniNejad Farsangi, A., Hadayeghparast, S., Mehdinejad, M., & Shayanfar, H. (2018). A novel stochastic energy management of a microgrid with various types of distributed energy resources in presence of demand response programs. Energy, 160, 257–274. https://doi.org/10.1016/J.ENERGY.2018.06.136
[26]. Karimi, H., Jadid, S., & Hasanzadeh, S. (2023). Optimal-sustainable multi-energy management of microgrid systems considering integration of renewable energy resources: A multi-layer four-objective optimization. Sustainable Production and Consumption, 36, 126–138. https://doi.org/10.1016/j.spc.2022.12.025
[27]. Mokaramian, E., Shayeghi, H., Sedaghati, F., & Safari, A. (2021). Four-Objective Optimal Scheduling of Energy Hub Using a Novel Energy Storage, Considering Reliability and Risk Indices. Journal of Energy Storage, 40, 102731.
https://doi.org/10.1016/J.EST.2021.102731
[28]. Karimi, H., Jadid, S., & Makui, A. (2021). Stochastic energy scheduling of multi-microgrid systems considering independence performance index and energy storage systems. Journal of Energy Storage, 33, 102083.
https://doi.org/10.1016/J.EST.2020.102083
[29]. Jani, A., Karimi, H., & Jadid, S. (2022). Multi-time scale energy management of multi-microgrid systems considering energy storage systems: A multi-objective two-stage optimization framework. Journal of Energy Storage, 51, 104554.
https://doi.org/10.1016/J.EST.2022.104554
[30]. Hosseini, S. E., & Ahmarinejad, A. (2021). Stochastic framework for day-ahead scheduling of coordinated electricity and natural gas networks considering multiple downward energy hubs. Journal of Energy Storage, 33, 102066.
https://doi.org/10.1016/J.EST.2020.102066