This paper tries to model the electricity demand in Iran’s industrial sector which captures economic factors and also non-economic exogenous factors. The structural time series model (STSM) approach is employed which allows using economic theory and time series flexibility. In this approach the role of UEDT (Underlying Energy Demand Trend) including technological improvement and structural chan...

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Short-term and long-term relationship between exchange rate, oil price and spot gas price of three regional gas markets was investigated using and estimating the Vector Autoregressive model. There is a significant and long-term relationship between variables.Short-term interactions of variables with Granger causality test One-year interaction of variables with intervals of one to twelve months ...

The main target of this of this research is to present the general architectural sub-system model of household's gas demand and to identify different variables affecting gas demand. The factors and variables identified from the subject literature have been analyzed using metasynthesize methodology and appropriate classification and prioritization has been done through content analysis. The stat...

The prediction of economic series with high volatility and high uncertainty - such as natural gas prices - is always a challenge in econometric models, because the use of traditional linear modeling models does not allow us to predict complex and nonlinear time series. Regarding the prediction of natural gas prices,  findings point to superiority of the neural network compared to regression mod...

: In this paper, in order to introduce manufacturing cost reduction methods, using a thermodynamic approach, the performance of cast iron rotary furnaces is analyzed. To do so, the furnace atmosphere is chosen as a control volume. Then, heat sources, heat sinks and heat loss mechanisms are recognized and the first law of thermodynamic is applied to the control volume. The analysis showed that r...