Therefore, predicting the price of gas as a strategic commodity has become more important for different countries. Using the neural network method, this paper attempts to provide a model for the monthly prediction of natural gas price. Based on the time series data from 2012 to April 2019 as ...
Natural gas account for 1/4 of the global demand and roughly 1/3 of the US energy demand. After oil, Natural gas is the most dominad sort of energy. So, being about to improve natural gas demand prediction is extremely valuable. This will allow midstream companies to optimize their storag...
To prevent the deposition of natural gas hydrate in deepwater gas well, the hydrate formation area in wellbore must be predicted. Herein, by comparing four prediction methods of temperature in pipe with field data and comparing five prediction methods of hydrate formation with experiment data, a ...
natural gas containing no inhibitor,compared are the predictions of such models to experimental values,evaluated are prediction precision of such models and determined are their application scopes.Du-Guo model is recommended if natural gas contains no C + 3 heavy hydrocarbon compositions and acid gas...
In this work several approaches to prediction of natural gas consumption with neural and fuzzy neural systems for a certain region of Poland are analyzed and tested. Prediction strategies tested in the paper include: single neural net module approach, combination of three neural modules, temperature ...
have reached the point where they are no longer relevant and have no effect on natural gas consumption. cooling degree-days (cdds) now have a disproportionately stronger effect on consumption and traders should be paying attention to changes in cdds. this week, the weather has heated up quite ...
Natural Gas Forecast 2015 In late August, we got our first taste of how the natural gas markets are shaping up for the upcoming winter. If The Old Farmer’s Almanac nails its prediction for a super-cold winter in the eastern United States, then perhaps nothing else will contribute more to...
A series of energy-saving potential prediction simulations, conducted to guide architectural design, are usually performed before construction appliance activities, which typically last for 2–5 years. However, the meteorological data used for potential evaluations are based on historical average temperatures...
Through multi-target geochemical survey advances have been made in the study of the back-ground values and distribution characteristics of the elements,study of structure,agriculture and environ-mental pollution,prediction of natural gas and calculation of the pH values. 并且判定深层样对研究深部元素...
We propose an approach to predict the natural gas price in several days using historical price data and events extracted from news headlines. Most previous methods treats price as an extrapolatable time series, those analyze the relation between prices and news either trim their price data correspo...