منابع مشابه
Forecasting Natural Gas Demand Using Meteorological Data: Neural Network Method
The need for prediction and patterns of gas consumption especially in the cold seasons is essential for consumption management and policy planning decision making. In residential and commercial uses which account for the bulk of gas consumption in the country the effects of meteorological variables have the highest impact on consumption. In the present research four variables include daily ave...
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Background for the model: The model tries to determine optimal allocation of natural gas in the time horizon between 1 and 3 years by minimizing both • shortages of natural gas and • the direct costs of supplying natural gas. In order to obtain these goals, the time horizon is divided into smaller decision time periods whose durations depend on the following: • The uncertainty in future weather...
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The present sought to draw a comparison between Model Predictive Control performance and two other controllers named Simple PI and Selective PI in controlling large-scale natural gas transport networks. A nonlinear dynamic model of representative gas pipeline was derived from pipeline governing rules and simulated in SIMULINK® environment of MATLAB®. Control schemes were designed to provide a s...
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Abstract: The increase of energy consumption in the world is reflected in the consumption of natural gas. However, this increment requires additional investment. This effect leads imbalances in terms of demand forecasting, such as applying penalties in the case of error rates occurring beyond the acceptable limits. As the forecasting errors increase, penalties increase exponentially. Therefore,...
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In this study the autoregressive distributed lag model and error correction model to estimate Hazard function is used during the years 1377-1394. The results show that in the short term and long term there is substitution between electricity and natural gas in the domestic sector. But the price elasticity of demand relative to the price of electricity is less than 5.0, this result indicates tha...
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ژورنال
عنوان ژورنال: Applied Energy
سال: 2010
ISSN: 0306-2619
DOI: 10.1016/j.apenergy.2009.07.006