[1] M. Alipour, K. Zare and M. Abapour, MINLP probabilistic scheduling model for demand response programs integrated energy hubs, IEEE Trans Ind. Inf. 14 (2018), no. 1, 79–88.
[2] M.H. Barmayoon, M. Fotuhi-Firuzabad, A. Rajabi-Ghahnavieh and M. Moeini Aghtaie, Energy storage in renewable-based residential energy hubs, IET Gener. Transm. Distrib. 10 (2016), no. 13, 3127–3134.
[3] F. Brahman, M. Honarmand and S. Jadid, Optimal electrical and thermal energy management of a residential energy hub, integrating demand response and energy storage system, Energy Build. 90 (2015), 65–75.
[4] G. Chicco and P. Mancarella, Matrix modelling of small-scale trigeneration systems and application to operational optimization, Energy 34 (2009), no. 3, 261–273.
[5] S. Clegg and P. Mancarella, Integrated electrical and gas network flexibility assessment in low-carbon multi-energy systems, IEEE Trans. Sustain. Energy. 7 (2016), no. 2, 718–731.
[6] M. Geidl, G. Koeppel, P. Favre-Perrod, B. Klockl, G. Andersson and K. Frohlich, Energy hubs for the future, IEEE Power Energy Mag. 5 (2007), no. 1, 24–30.
[7] J. Hinker, H. Knappe and J.M.A. Myrzik, Precise assessment of technically feasible power vector interactions for arbitrary controllable multi-energy systems, IEEE Trans. Smart Grid 10 (2019), no. 1, 1146–1155.
[8] Y. Li, H. Zhang and X. Liang, Event-triggered based distributed cooperative energy management for multienergy systems, IEEE Trans Ind. Inf. 15 (2019), no. 14, 2008–2022.
[9] K. Mahmud, B. Khan, J. Ravishankar, A. Ahmadi and P. Siano, An internet of energy framework with distributed energy resources, prosumers and small-scale virtual power plants: An overview, Renew. Sustain. Energy Rev. 127 (2020), 1–19.
[10] M. Moeini-Aghtaie, P. Dehghanian, M. Fotuhi-Firuzabad and A. Abbaspour, Multiagent genetic algorithm: An online probabilistic view on economic dispatch of energy hubs constrained by wind availability, IEEE Trans. Sustain. Energy 5 (2014), no. 2, 699–708.
[11] K. Orehounig, R. Evins and V. Dorer, Integration of decentralized energy systems in neighbourhoods using the energy hub approach, Appl. Energy 154 (2015), 277–289.
[12] A. Rahmani, J. Haddadnia and A. Sanai, Intelligent detection of electrical equipment faults in the overhead substations-based machine vision, 2nd Int. Conf. Mech. Electron. Engin., IEEE, 2 (2010), V2–141.
[13] O. Rahmani Seryasat, J. Haddadnia and H. Ghayoumi Zadeh, Assessment of a novel computer aided mass diagnosis system in mammograms, Iran. J. Breast Disease 9 (2016), no. 3, 31–41.
[14] H. Razavi, H. Sarabadani, A. Karimisefat and J.F. Lebraty, Profitability prediction for ATM transactions using artificial neural networks: a data-driven analysis, 5th Conf. Knowledge Based Engin. Innov. (KBEI), IEEE, 2019, pp. 661–665.
[15] Q. Sun, Energy internet and we-energy, Berlin, Germany: Springer, 2018.
[16] Q. Sun, R. Fan, Y. Li, B. Huang and D. Ma, A distributed double-consensus algorithm for residential we-energy, IEEE Trans. Ind. Inf. 15 (2019), no. 8, 4830–4842.
[17] Q. Sun and L. Yang, From independence to interconnection–A review of AI technology applied in energy systems, CSEE J. Power Energy Syst. 5 (2019), no. 1, 21–34.
[18] Y. Wang, J. Cheng, N. Zhang, and C. Kang, Automatic and linearized modeling of energy hub and its flexibility analysis, Appl. Energy 211 (2018), 705–714.
[19] D. Wang, L. Liu, H. Jia, W. Wang, Y. Zhi, Z. Meng and B. Zhou, Review of key problems related to integrated energy distribution systems, CSEE J. Power Energy Syst. 4 (2018), no. 2, 130–145.
[20] Y. Wang, N. Zhang, C. Kang, D.S. Kirschen, J. Yang and Q. Xia, Standardized matrix modeling of multiple energy systems, IEEE Trans. Smart Grid 10 (2019), no. 1, 257–270.
[21] L. Yang, Q. Sun, D. Ma and Q. Wei, Nash Q-learning based equilibrium transfer for integrated energy management game with we-energy, Neurocomput. 396 (2019), 216–223.
[22] M. Zarif, S. Khaleghi and M.H. Javidi, Assessment of electricity price uncertainty impact on the operation of multi-carrier energy systems, IET Gener. Transm. Distrib. 9 (2015), no. 16, 2586–2592.
[23] D. Zhang and T. Liu, A multi-step modeling and optimal operation calculation method for large-scale energy hub model considering two types demand responses, IEEE Trans. Smart Grid 10 (2019), no. 6, 6735–6746.
[24] N. Zhang, Q. Sun and L. Yang, A two-stage multi-objective optimal scheduling in the integrated energy system with we-energy modeling, Energy 205 (2020).