How to cite this paper
Jahromi, Y., Haratemeh, M., Meymand, M & Shahrabi, M. (2014). Estimation of Iranian price elasticities of residential electricity demand.Management Science Letters , 4(6), 1285-1288.
Refrences
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Bartusch, C., & Alvehag, K. (2014). Further exploring the potential of residential demand response programs in electricity distribution. Applied Energy, 125, 39-59.
Fell, H., Li, S., & Paul, A. (2014). A new look at residential electricity demand using household expenditure data. International Journal of Industrial Organization, 33, 37-47
Johansen, S., & Juselius, K. (1990). Maximum likelihood estimation and inference on cointegration—with applications to the demand for money. Oxford Bulletin of Economics and statistics, 52(2), 169-210.
Lin, B., & Ouyang, X. (2014). Electricity demand and conservation potential in the Chinese nonmetallic mineral products industry. Energy Policy, 68, 243-253.
Mahmoudi, N., Saha, T. K., & Eghbal, M. (2014). A new demand response scheme for electricity retailers. Electric Power Systems Research, 108, 144-152.
Mostafavi, E. S., Mostafavi, S. I., Jaafari, A., & Hosseinpour, F. (2013). A novel machine learning approach for estimation of electricity demand: An empirical evidence from Thailand. Energy Conversion and Management, 74, 548-555.
Okajima, S., & Okajima, H. (2013). Estimation of Japanese price elasticities of residential electricity demand, 1990–2007. Energy Economics, 40, 433-440.
Taylor, L. D. (1975). The demand for electricity: a survey. The Bell Journal of Economics, 6(1), 74-110.
Wood, M., & Alsayegh, O. A. (2014). Impact of oil prices, economic diversification policies and energy conservation programs on the electricity and water demands in Kuwait. Energy Policy, 66, 144-156.
Yan, J., & Folly, K. (2014). Investigation of the impact of demand elasticity on electricity market using extended Cournot approach. International Journal of Electrical Power & Energy Systems, 60, 347-356.
Zhou, S., & Teng, F. (2013). Estimation of urban residential electricity demand in China using household survey data. Energy Policy, 61, 394-402.
Bartusch, C., & Alvehag, K. (2014). Further exploring the potential of residential demand response programs in electricity distribution. Applied Energy, 125, 39-59.
Fell, H., Li, S., & Paul, A. (2014). A new look at residential electricity demand using household expenditure data. International Journal of Industrial Organization, 33, 37-47
Johansen, S., & Juselius, K. (1990). Maximum likelihood estimation and inference on cointegration—with applications to the demand for money. Oxford Bulletin of Economics and statistics, 52(2), 169-210.
Lin, B., & Ouyang, X. (2014). Electricity demand and conservation potential in the Chinese nonmetallic mineral products industry. Energy Policy, 68, 243-253.
Mahmoudi, N., Saha, T. K., & Eghbal, M. (2014). A new demand response scheme for electricity retailers. Electric Power Systems Research, 108, 144-152.
Mostafavi, E. S., Mostafavi, S. I., Jaafari, A., & Hosseinpour, F. (2013). A novel machine learning approach for estimation of electricity demand: An empirical evidence from Thailand. Energy Conversion and Management, 74, 548-555.
Okajima, S., & Okajima, H. (2013). Estimation of Japanese price elasticities of residential electricity demand, 1990–2007. Energy Economics, 40, 433-440.
Taylor, L. D. (1975). The demand for electricity: a survey. The Bell Journal of Economics, 6(1), 74-110.
Wood, M., & Alsayegh, O. A. (2014). Impact of oil prices, economic diversification policies and energy conservation programs on the electricity and water demands in Kuwait. Energy Policy, 66, 144-156.
Yan, J., & Folly, K. (2014). Investigation of the impact of demand elasticity on electricity market using extended Cournot approach. International Journal of Electrical Power & Energy Systems, 60, 347-356.
Zhou, S., & Teng, F. (2013). Estimation of urban residential electricity demand in China using household survey data. Energy Policy, 61, 394-402.