Refrences
Abrahamse, W., Steg, L., Vlek, C., and Rothengatter, J. A. (2005). Encouraging sustainable household energy use: A review of intervention studies*. Journal of Environmental Psychology, 25, 291-273.
Allcott, H., & Rogers, T. (2014). The short-run and long-run effects of behavioral interventions: Experimental evidence from energy conservation. American Economic Review, 104(10), 3003–3037.
Carrus G, Tiberio L, Mastandrea S, Chokrai P, Fritsche I, Klöckner CA, Masson T, Vesely S, Panno A. Psychological Predictors of Energy Saving Behavior: A Meta-Analytic Approach. Front Psychol. 2021 Jun 24;12:648221. doi: 10.3389/fpsyg.2021.648221. PMID: 34248747; PMCID: PMC8265205. 
‎Davison A‎. ‎C.‎, ‎Hinkley D‎. ‎V‎. ‎(1997)‎. ‎Bootstrap methods and their application (Vol‎. ‎1)‎. ‎New York‎, ‎NY‎: ‎Cambridge University Press‎.
‎Efron B‎. ‎(1979)‎. ‎Bootstrap methods‎: ‎Another look at the jackknife‎. ‎Annals of Statistics‎, ‎7‎, ‎1-26‎.
‎Efron B.‎, ‎Tibshirani R‎. ‎J‎. ‎(1994)‎. ‎An introduction to the bootstrap‎. ‎Boca Raton‎, ‎FL‎: ‎CRC press‎.
Faryadras, A., Tahmasebiashtiani, S., Kasiri, M., &Mirnezami, S. R. (2025). Transforming energy landscape: A scenario-based robust planning strategy for addressing energy imbalance in Iran by 2035, Energy Strategy Reviews, 61, 101817, https://doi.org/10.1016/j.esr.2025.101817.
Fawcett‎, ‎T‎. ‎(2006)‎. ‎An introduction to ROC analysis‎. ‎Pattern Recognition Letters‎, ‎27(8)‎, ‎861–874‎. 
Gillingham, K., Rapson, D., and Wagner, G. (2016). The rebound effect and energy efficiency policy. Review of Environmental Economics and Policy, 10(1), 68–88.
‎Harasheh‎, ‎M‎. ‎(2016)‎. ‎Forecasting The Italian Day-Ahead Electricity Price Using Bootstrap Aggregation Method‎. ‎EUROPEAN SCIENTIFIC JOURNAL‎, ‎12(28)‎, ‎51-76‎. 
Huang‎, ‎F‎. ‎L‎. ‎(2018)‎. ‎Using cluster bootstrapping to analyze nested data with a few clusters‎. ‎Educ Psychol Meas‎, ‎78(2)‎, ‎297-318‎.
International Energy Agency. (2022). Energy efficiency 2022. IEA. https://www.iea.org/reports/energy-efficiency-2022.
Jiang L, Ding B, Shi X, Li C, Chen Y., (2022), Household Energy Consumption Patterns and Carbon Emissions for the Megacities—Evidence from Guangzhou, China. Energies. 15(8):2731.
‎Lahiri‎, ‎S‎. ‎N‎. ‎(2003)‎. ‎Resampling Methods for Dependent Data‎. ‎Springer‎. 
Mamipour, S., Ghahremani, M., Malfuzi, A., & Motahar, S. A., (2025). Analyzing the consequences of postponing electricity subsidy reforms in Iran: A retrospective study, Energy Strategy Reviews, 62, 101889. https://doi.org/10.1016/j.esr.2025.101889.
‎Menzel‎, ‎K‎. ‎(2021)‎. ‎Bootstrap with cluster-dependence in two or more dimensions‎. ‎Econometrica‎, ‎89(5)‎, ‎2143-2188‎.
Mundaca, L., Zhu, X., Hackenfort, M., (2022), Behavioural insights for sustainable energy use. Energy Policy, 171, 113292.
‎Pelaez‎, ‎R.‎, ‎Aneiros‎, ‎G.‎, ‎and Vilar‎, ‎J‎. ‎M.‎, ‎(2024)‎. ‎Bootstrap prediction regions for daily curves of electricity demand and price using functional data‎, ‎International Journal Electrical Power and Energy Systems‎, ‎162‎, ‎110244‎.
Raei, H., Maleki, A., and Farajzadeh, Z. (2024). Analysis of energy policy reform in Iran: Energy and emission intensity changes. Economic Analysis and Policy, 81, 1535–1557.
Youden‎, ‎W‎. ‎J‎. ‎(1950)‎. ‎Index for rating diagnostic tests‎. ‎Cancer‎, ‎3(1)‎, ‎32–35‎.
‎Fluss‎, ‎R.‎, ‎Faraggi‎, ‎D.‎, ‎and Reiser‎, ‎B‎. ‎(2005)‎. ‎Estimation Of The Youden Index And Its‎ Associated Cutoff Point‎. ‎Biometrical Journal‎, ‎47(4)‎, ‎458-472‎. Doi:10.1002/Bimj.200410135‎.