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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We propose and estimate fundamental models for natural gas prices. We compare how well these models, as well as univariate statistical time series models of NG prices and the NYMEX futures price for natural gas, forecast spot gas prices. We find that a univariate time series model that incorporates fundamental variables related to production, storage, weather, and aggregate output performs best...
متن کاملThe Forecasting of Iran Natural Gas Consumption Based On Neural-Fuzzy System Until 2020
In this paper, an Adaptive-Network-based Fuzzy Inference System (ANFIS) is used for forecasting of natural gas consumption. It is clear that natural gas consumption prediction for future, surly can help Statesmen to decide more certain. There are many variables which effect on gas consumption but two variables that named Gross Domestic Product (GDP) and population, are selected as two input var...
متن کاملStudy of Growth Kinetic Models of a Methanotroph Bacterium Growing on Natural Gas
Kinetics of single cell protein production from natural gas by a microorganism (a Methylomonas sp.) was studied experimentally and by modeling at equal amount of air and natural gas. Kinetic models of Monod, Moser, Teissier, Aiba, Andrews, and Noack were used for illustrating cell growth. Methane and oxygen were considered as limited substrates with concentration in the range 2-10 mg/lit. Death...
متن کاملNatural Gas Price Forecasting using Kriging Interpolation Technique and Neldar-Mead Optimization Algorithm
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...
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ژورنال
عنوان ژورنال: International Journal of Scientific Research in Science and Technology
سال: 2021
ISSN: 2395-602X,2395-6011
DOI: 10.32628/ijsrst218375