Showing 2 results for Genetic Algorithms
Hassan Rangriz, Hooman Pashootanizadeh,
Volume 5, Issue 17 (10-2014)
Abstract
In this study, the electrical energy consumption in Tehran before reduction subsidies and after targeting subsidies was examined with using a dataset collected from household subscribers Tehran Electricity Distribution Company from August 2000 to November 2012. After review and analysis values, a model was proposed for predicting power consumption. The proposed model was a combination of trigonometric coefficients and power factors. The best values were obtained by using a genetic algorithm.
Procedure of electrical energy consumption in Tehran after Implementation of subsidies reduction plan was compared with the predicted model of electrical energy consumption in Tehran before Implementation that plan. The results indicated that implementation of subsidies reduction plan reduced electrical consumption growth rates and also a little reduced consumption rate. The other results of this study contain consumption patterns in order to manage the future consumption level of electrical consumers in Tehran. Also the results showed that, because demand for electricity is inelastic to price and income in the short time, as a result price policies cannot be effective in controlling the electricity demand, then should use non-price and intensive policies to reduce the consumption of electricity.
Ali Hossein Ostadzad, Sajjad Behpour,
Volume 5, Issue 18 (12-2014)
Abstract
In order to estimate the production function besides productivity and economic growth, the time series of capital stock is required. Time-series that available for capital stock is not so reliable because of Variations in suggested methods and also difficulty in the calculation of this variable. The continuously inventory method (CIM) has been more attention, among the existing methods. We improve CIM in this research. For estimating the capital stock we developed an algorithm and titled that “Programming or Recursive Algorithm”.The following can be noted in capabilities of the model that developed in this study. Unlike the previous studies we taking the variable depreciation rate of capital in different periods, considering the quality variable of war and its impact on the rate of depreciation, investigation of nonlinear and linear production function in order to increase estimation accuracy and considering energy as well as labor and capital input.The results show that compared to the time series reported by the Central Bank of Iran, the series calculated in this study are similar trend, but with some differences.The mean of depreciation rate has been calculated 5.1% for the period 2009 to 2010. The estimation results show that in war period we have always higher depreciation rate than average rate of depreciation in period of this study.
