[1] S. Hunkin and K. Krell. Renewable energy communities, policy brief from the policy learning platform on low-carbon economy, Aug. 2018. [Online]. Available: https://interregeurope.eu/
[2] S. Minniti, N. Haque, P. Nguyen, and G. Pemen, “Local markets for flexibility trading: Key stages and enablers,” Energies, vol. 11, no. 11, Nov. 2018.
[3] I. Baäekovi and P. A. Østergaard, “Local smart energy systems and cross-system integration,” Energy, vol. 151, pp. 812-825, May 2018.
[4] G. Raveduto, V. Croce, M. Antal, C. Pop, I. Anghel, and T. Cioara, “Dynamic coalitions of prosumers in virtual power plants for energy trading and profit optimization,” IEEE 20th Mediterranean Electrotechnical Conference (MELECON), pp. 541-546, Jun. 2020.
[5] M. Yazdanie, M. Densing, and A.Wokaun, “The nationwide characterization and modeling of local energy systems: Quantifying the role of decentralized generation and energy resources in future communities,” Energy Policy, vol. 118, pp. 516-533, Jul. 2018.
[6] J.-H. Kim and A. Shcherbakova, “Common failures of demand response,” Energy, vol. 36, no. 2, pp. 873-880, Feb. 2011.
[7] M. Beaudin and H. Zareipour, “Home energy management systems: A review of modelling and complexity,” Renewable and Sustainable Energy Reviews, vol. 45, pp. 318-335, May 2015.
[8] A. Safdarian, M. Fotuhi-Firuzabad, and M. Lehtonen, “A distributed algorithm for managing residential demand response in smart grids,” IEEE Transactions on Industrial Informatics, vol. 10, no. 4, pp. 2385-2393, Nov. 2014.
[9] A. H. Mohsenian-Rad and A. Leon-Garcia, “Optimal residential load control with price prediction in real-time electricity pricing environments,” IEEE Transactions on Smart Grid, vol. 1, no. 2, pp. 120-133, Sep. 2010.
[10] F. D. Angelis, M. Boaro, D. Fuselli, S. Squartini, F. Piazza, and Q. Wei, “Optimal home energy management under dynamic electrical and thermal constraints,” IEEE Transactions on Industrial Informatics, vol. 9, no. 3, pp. 1518-1527, Aug. 2013.
[11] A. Soares, A. Gomes, C. H. Antunes, and C. Oliveira, “A customized evolutionary algorithm for multi-objective management of residential energy resources,” IEEE Transactions on Industrial Informatics, vol. 13, no. 2, pp. 492-501, Apr. 2017.
[12] M. Pipattanasomporn, M. Kuzlu, and S. Rahman, “An algorithm for intelligent home energy management and demand response analysis,” IEEE Transactions on Smart Grid, vol. 3, no. 4, pp. 2166-2173, Dec. 2012.
[13] N. G. Paterakis, A. Tackaraolu, O. Erdin, A. G. Bakirtzis, and J. P. S. Catalo, “Assessment of demand-response-driven load pattern elasticity using a combined approach for smart households,” IEEE Transactions on Industrial Informatics, vol. 12, no. 4, pp. 1529-1539, Aug. 2016.
[14] I. Y. Joo and D. H. Choi, “Optimal household appliance scheduling considering consumer’s electricity bill target,” IEEE Transactions on Consumer Electronics, vol. 63, no. 1, pp. 19-27, Feb. 2017.
[15] A. Safdarian, M. Fotuhi-Firuzabad, and M. Lehtonen, “Optimal residential load management in smart grids: A decentralized framework,” IEEE Transactions on Smart Grid, vol. 7, no. 4, pp. 1836-1845, Jul. 2016.
[16] B. Celik, R. Roche, D. Bouquain, and A. Miraoui, “Decentralized neighborhood energy management with coordinated smart home energy sharing,” IEEE Transactions on Smart Grid, vol. 9, no. 6, pp. 6387-6397, Nov. 2018.
[17] B. Celik, R. Roche, D. Bouquain, A. Miraoui, T. Hansen, and S. Suryanarayanan, “Increasing local renewable energy use in smart neighborhoods through coordinated trading,” Cyber-Physical-Social Systems and Constructs in Electric Power Engineering. Edison, NJ, USA: Institution of Engineering and Technology, Oct. 2016, ch. 9.
[18] M. Jadidbonab, B. Mohammadi-Ivatloo, M. Marzband, and P. Siano, “Short-term self-scheduling of virtual energy hub plant within thermal energy market,” IEEE Transactions on Industrial Electronics, vol. 68, no. 4, pp. 3124-3136, Apr. 2021.
[19] H. R. Gholinejad, A. Loni, J. Adabi, and M. Marzband, “A hierarchical energy management system for multiple home energy hubs in neighborhood grids,” Journal of Building Engineering, vol. 28, Mar. 2020, Art. no. 101028.
[20] M. Nazari-Heris, M. A. Mirzaei, B. Mohammadi-Ivatloo, M. Marzband, and S. Asadi, “Economic-environmental effect of power to gas technology in coupled electricity and gas systems with price-responsive shiftable loads,” Journal of Cleaner Production, vol. 244, Jan. 2020, Art. no. 118769.
[21] M. A. Mirzaei, A. Sadeghi-Yazdankhah, B. Mohammadi-Ivatloo, M. Marzband, M. Shafie-khah, and J. P. S. Catalão, “Integration of emerging resources in IGDT-based robust scheduling of combined power and natural gas systems considering _exible ramping products,” Energy, vol. 189, Dec. 2019, Art. no. 116195.
[22] M. A. Mirzaei, M. Hemmati, K. Zare, M. Abapour, B. Mohammadi-Ivatloo, M. Marzband, and A. Anvari-Moghaddam, “A novel hybrid two-stage framework for flexible bidding strategy of reconfigurable micro-grid in day-ahead and real-time markets,” International Journal of Electrical Power & Energy Systems, vol. 123, Dec. 2020, Art. no. 106293.
[23] M. A. Mirzaei, M. Nazari-Heris, K. Zare, B. Mohammadi-Ivatloo, M. Marzband, S. Asadi, and A. Anvari-Moghaddam, “Evaluating the impact of multi-carrier energy storage systems in optimal operation of integrated electricity, gas and district heating networks,” Applied Thermal Engineering, vol. 176, Jul. 2020, Art. no. 115413.
[24] F. Safdarian, O. Ciftci, and A. Kargarian, “A time decomposition and coordination strategy for power system multi-interval operation,” IEEE Power & Energy Society General Meeting (PESGM), pp. 1-5, Aug. 2018.
[25] A. Engelmann, Y. Jiang, T. Muhlpfordt, B. Houska, and T. Faulwasser, “Toward distributed OPF using ALADIN,” IEEE Transactions on Power Systems, vol. 34, no. 1, pp. 584-594, Jan. 2019.
[26] S. Fan, Z. Li, J. Wang, L. Piao, and Q. Ai, “Cooperative economic scheduling for multiple energy hubs: A bargaining game theoretic perspective,” IEEE Access, vol. 6, pp. 27777-27789, May. 2018.
[27] Z. Tan, P. Yang, and A. Nehorai, “An optimal and distributed demand response strategy with electric vehicles in the smart grid,” IEEE Transactions on Smart Grid, vol. 5, no. 2, pp. 861-869, Jan. 2014.
[28] M. shafie-khah, and P. Siano, “A stochastic home energy management system considering satisfaction cost and response fatigue,” IEEE Transactions on Industrial Informatics, vol.14, no.2, pp.629-638, Feb.2018.
[29] L. Gkatzikis, I. Koutsopoulos, and T. Salonidis, “The role of aggregators in smart grid demand response markets,” IEEE Journal on Selected Areas in Communications, vol. 31, no. 7, pp. 1247-1257, Jun. 2013.
[31] Salman Habib , Sina Aghakhani , Mobin GhasempourNejati , Mahdi Azimian , Youwei Jia , EmadM. Ahmed , ‘Energy management of an intelligent parking lot equipped with hydrogen storage systems and renewable energy sources using the stochastic p-robust optimization approach’, 1 September 2023, 1278