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[23] Morovat, H., Faridzad, A. and Lowni, S., 2019. Estimating the Elasticity of Electricity Demand in Iran: A Sectoral-Province Approach. Iranian Economic Review, 23(4), pp.861-881.
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[25] Niromandfam, A., Yazdankhah, A.S. and Kazemzadeh, R., 2020. Designing risk hedging mechanism based on the utility function to help customers manage electricity price risks. Electric Power Systems Research, 185, p.106365.
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[29] Sharifi, Reza, Amjad Anvari-Moghaddam, Seyed Hamid Fathi, Josep M. Guerrero, and Vahid Vahidinasab. "Economic demand response model in liberalised electricity markets with respect to flexibility of consumers." IET Generation, Transmission & Distribution 11, no. 17 (2017): 4291-4298.
[11] Atalla, T.N. and Hunt, L.C., 2016. Modelling residential electricity demand in the GCC countries. Energy Economics, 59, pp.149-158.
[12] Sa’ad, S., 2009. Electricity demand for South Korean residential sector. Energy policy, 37(12), pp.5469-5474.
[13] Erdogdu, E., 2007. Electricity demand analysis using cointegration and ARIMA modelling: A case study of Turkey. Energy policy, 35(2), pp.1129-1146.
[14] Chang, B., Kang, S.J. and Jung, T.Y., 2019. Price and output elasticities of energy demand for industrial sectors in OECD countries. Sustainability, 11(6), p.1786.
[15] Alamaniotis, M., Bourbakis, N. and Tsoukalas, L.H., 2019. Enhancing privacy of electricity consumption in smart cities through morphing of anticipated demand pattern utilizing self-elasticity and genetic algorithms. Sustainable Cities and Society, 46, p.101426.
[16] Fell, M.J., 2017. Energy services: A conceptual review. Energy research & social science, 27, pp.129-140.
[17] Aalami, H.A., Pashaei-Didani, H. and Nojavan, S., 2019. Deriving nonlinear models for incentive-based demand response programs. International Journal of Electrical Power & Energy Systems, 106, pp.223-231.
[18] Monfared, H.J. and Ghasemi, A., 2019. Retail electricity pricing based on the value of electricity for consumers. Sustainable Energy, Grids and Networks, 18, p.100205.
[19] Jhala, K., Natarajan, B. and Pahwa, A., 2018. Prospect theory-based active consumer behavior under variable electricity pricing. IEEE Transactions on Smart Grid, 10(3), pp.2809-2819.
[20] Tiwari, A.K. and Menegaki, A.N., 2019. A time varying approach on the price elasticity of electricity in India during 1975–2013. Energy, 183, pp.385-397.
[21] Zhu, X., Li, L., Zhou, K., Zhang, X. and Yang, S., 2018. A meta-analysis on the price elasticity and income elasticity of residential electricity demand. Journal of cleaner production, 201, pp.169-177.
[22] Al-Faris, A.R.F., 2002. The demand for electricity in the GCC countries. Energy Policy, 30(2), pp.117-124.
[23] Morovat, H., Faridzad, A. and Lowni, S., 2019. Estimating the Elasticity of Electricity Demand in Iran: A Sectoral-Province Approach. Iranian Economic Review, 23(4), pp.861-881.
[24] Holtedahl, P. and Joutz, F.L., 2004. Residential electricity demand in Taiwan. Energy economics, 26(2), pp.201-224.
[25] Niromandfam, A., Yazdankhah, A.S. and Kazemzadeh, R., 2020. Designing risk hedging mechanism based on the utility function to help customers manage electricity price risks. Electric Power Systems Research, 185, p.106365.
[26] Cicek, N. and Delic, H., 2015. Demand response management for smart grids with wind power. IEEE Transactions on Sustainable Energy, 6(2), pp.625-634
[27] Niromandfam, A., Yazdankhah, A.S. and Kazemzadeh, R., 2020. Modeling demand response based on utility function considering wind profit maximization in the day-ahead market. Journal of Cleaner Production, 251, p.119317.
[28] Niromandfam, A., Pour, A.M. and Zarezadeh, E., 2020. Virtual energy storage modeling based on electricity customers’ behavior to maximize wind profit. Journal of Energy Storage, 32, p.101811.
[29] Sharifi, Reza, Amjad Anvari-Moghaddam, Seyed Hamid Fathi, Josep M. Guerrero, and Vahid Vahidinasab. "Economic demand response model in liberalised electricity markets with respect to flexibility of consumers." IET Generation, Transmission & Distribution 11, no. 17 (2017): 4291-4298.