Modelling Natural Gas Energy Production of United States
In the transformation of the energy system, natural gas energy is regarded as a buffer energy. How to make a reasonable energy distribution and effectively predict its production is very significant. In the work of this paper, a grid-optimized fractional-order non-homogeneous grey model is used to p...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
EDP Sciences
2021-01-01
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| Series: | E3S Web of Conferences |
| Online Access: | https://www.e3s-conferences.org/articles/e3sconf/pdf/2021/24/e3sconf_caes2021_02034.pdf |
| _version_ | 1818338993646862336 |
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| author | Cai Yubin Deng Yanqiao |
| author_facet | Cai Yubin Deng Yanqiao |
| author_sort | Cai Yubin |
| collection | DOAJ |
| description | In the transformation of the energy system, natural gas energy is regarded as a buffer energy. How to make a reasonable energy distribution and effectively predict its production is very significant. In the work of this paper, a grid-optimized fractional-order non-homogeneous grey model is used to predict the natural gas energy production in the United States and obtain reliable results. This paper first introduces the prediction method and prediction mechanism. Then the model is optimized to make the prediction effect more prominent. The natural gas energy prediction results show that this method has high prediction accuracy compared with other methods, which means that the method proposed in this paper can be used as an effective tool for short-term forecasting of natural gas production in the United States and play an auxiliary role in energy forecasting. |
| first_indexed | 2024-12-13T15:19:56Z |
| format | Article |
| id | doaj.art-1975de804346484da7e01f7190c26dd8 |
| institution | Directory Open Access Journal |
| issn | 2267-1242 |
| language | English |
| last_indexed | 2024-12-13T15:19:56Z |
| publishDate | 2021-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | E3S Web of Conferences |
| spelling | doaj.art-1975de804346484da7e01f7190c26dd82022-12-21T23:40:36ZengEDP SciencesE3S Web of Conferences2267-12422021-01-012480203410.1051/e3sconf/202124802034e3sconf_caes2021_02034Modelling Natural Gas Energy Production of United StatesCai Yubin0Deng Yanqiao1School of Science, Southwest University of Science and TechnologySchool of Science, Southwest University of Science and TechnologyIn the transformation of the energy system, natural gas energy is regarded as a buffer energy. How to make a reasonable energy distribution and effectively predict its production is very significant. In the work of this paper, a grid-optimized fractional-order non-homogeneous grey model is used to predict the natural gas energy production in the United States and obtain reliable results. This paper first introduces the prediction method and prediction mechanism. Then the model is optimized to make the prediction effect more prominent. The natural gas energy prediction results show that this method has high prediction accuracy compared with other methods, which means that the method proposed in this paper can be used as an effective tool for short-term forecasting of natural gas production in the United States and play an auxiliary role in energy forecasting.https://www.e3s-conferences.org/articles/e3sconf/pdf/2021/24/e3sconf_caes2021_02034.pdf |
| spellingShingle | Cai Yubin Deng Yanqiao Modelling Natural Gas Energy Production of United States E3S Web of Conferences |
| title | Modelling Natural Gas Energy Production of United States |
| title_full | Modelling Natural Gas Energy Production of United States |
| title_fullStr | Modelling Natural Gas Energy Production of United States |
| title_full_unstemmed | Modelling Natural Gas Energy Production of United States |
| title_short | Modelling Natural Gas Energy Production of United States |
| title_sort | modelling natural gas energy production of united states |
| url | https://www.e3s-conferences.org/articles/e3sconf/pdf/2021/24/e3sconf_caes2021_02034.pdf |
| work_keys_str_mv | AT caiyubin modellingnaturalgasenergyproductionofunitedstates AT dengyanqiao modellingnaturalgasenergyproductionofunitedstates |