Intelligent Predication of Clients’ Demand of Natural Gas for Automatic Delivery
To solve the logistics distribution automatization problem of a small natural gas sales company, this paper focuses on demand forecasting based on the intelligent prediction of natural gas demand Based on the actual monitoring data of the gas storage tanks provided by the natural gas company, the i...
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| Format: | Article |
| Language: | zho |
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Harbin University of Science and Technology Publications
2021-02-01
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| Series: | Journal of Harbin University of Science and Technology |
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| Online Access: | https://hlgxb.hrbust.edu.cn/#/digest?ArticleID=1913 |
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| author | AN Xianxi SHI Shengfei GUO Ziyang SONG Yan |
| author_facet | AN Xianxi SHI Shengfei GUO Ziyang SONG Yan |
| author_sort | AN Xianxi |
| collection | DOAJ |
| description | To solve the logistics distribution automatization problem of a small natural gas sales company, this paper focuses on demand forecasting based on the intelligent prediction of natural gas demand Based on the actual monitoring data of the gas storage tanks provided by the natural gas company, the instantaneous flow data were selected to be fitted and predicted. This paper categorizes the clients’ data into two types: zero regular type and zero irregular type For the most part of clients’ data, zero regular type, we applied zeropoint fragment function fitting method and curve translation method, getting satisfying result.Experimental results demonstrate that the proposed approach could predict users’ demand efficiently and effectively.The research of this paper lays the foundation for the logistics distribution automatization. |
| format | Article |
| id | doaj-art-cdb4d50ecdc1475e95bb062cc1ebc2c3 |
| institution | Kabale University |
| issn | 1007-2683 |
| language | zho |
| publishDate | 2021-02-01 |
| publisher | Harbin University of Science and Technology Publications |
| record_format | Article |
| series | Journal of Harbin University of Science and Technology |
| spelling | doaj-art-cdb4d50ecdc1475e95bb062cc1ebc2c32025-08-20T03:38:54ZzhoHarbin University of Science and Technology PublicationsJournal of Harbin University of Science and Technology1007-26832021-02-012601172410.15938/j.jhust.2021.01.003Intelligent Predication of Clients’ Demand of Natural Gas for Automatic DeliveryAN Xianxi0SHI Shengfei1GUO Ziyang2SONG Yan3School of Economics and Management, Harbin Engineering University, Harbin 150001, ChinaSchool of Computer Science and Technology, Harbin Institute of Technology, Harbin 150001, ChinaSchool of Computer Science and Technology, Harbin Institute of Technology, Harbin 150001, ChinaSchool of Economics and Management, Harbin Engineering University, Harbin 150001, ChinaTo solve the logistics distribution automatization problem of a small natural gas sales company, this paper focuses on demand forecasting based on the intelligent prediction of natural gas demand Based on the actual monitoring data of the gas storage tanks provided by the natural gas company, the instantaneous flow data were selected to be fitted and predicted. This paper categorizes the clients’ data into two types: zero regular type and zero irregular type For the most part of clients’ data, zero regular type, we applied zeropoint fragment function fitting method and curve translation method, getting satisfying result.Experimental results demonstrate that the proposed approach could predict users’ demand efficiently and effectively.The research of this paper lays the foundation for the logistics distribution automatization.https://hlgxb.hrbust.edu.cn/#/digest?ArticleID=1913logistics distribution automationdemand forecastingdata fittingintelligent prediction |
| spellingShingle | AN Xianxi SHI Shengfei GUO Ziyang SONG Yan Intelligent Predication of Clients’ Demand of Natural Gas for Automatic Delivery Journal of Harbin University of Science and Technology logistics distribution automation demand forecasting data fitting intelligent prediction |
| title | Intelligent Predication of Clients’ Demand of Natural Gas for Automatic Delivery |
| title_full | Intelligent Predication of Clients’ Demand of Natural Gas for Automatic Delivery |
| title_fullStr | Intelligent Predication of Clients’ Demand of Natural Gas for Automatic Delivery |
| title_full_unstemmed | Intelligent Predication of Clients’ Demand of Natural Gas for Automatic Delivery |
| title_short | Intelligent Predication of Clients’ Demand of Natural Gas for Automatic Delivery |
| title_sort | intelligent predication of clients demand of natural gas for automatic delivery |
| topic | logistics distribution automation demand forecasting data fitting intelligent prediction |
| url | https://hlgxb.hrbust.edu.cn/#/digest?ArticleID=1913 |
| work_keys_str_mv | AT anxianxi intelligentpredicationofclientsdemandofnaturalgasforautomaticdelivery AT shishengfei intelligentpredicationofclientsdemandofnaturalgasforautomaticdelivery AT guoziyang intelligentpredicationofclientsdemandofnaturalgasforautomaticdelivery AT songyan intelligentpredicationofclientsdemandofnaturalgasforautomaticdelivery |