Comparison of predicted vs. actual natural gas production (August 29–September 25, 2023), with predictive performance under high-temperature conditions verifying the model’s environmental adaptability.
<p>Comparison of predicted vs. actual natural gas production (August 29–September 25, 2023), with predictive performance under high-temperature conditions verifying the model’s environmental adaptability.</p>
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2025
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| _version_ | 1852015895826661376 |
|---|---|
| author | Dong Wang (73290) |
| author2 | Jian Lian (19690960) Chengjiang Li (11430895) Yanlei Wang (235566) |
| author2_role | author author author |
| author_facet | Dong Wang (73290) Jian Lian (19690960) Chengjiang Li (11430895) Yanlei Wang (235566) |
| author_role | author |
| dc.creator.none.fl_str_mv | Dong Wang (73290) Jian Lian (19690960) Chengjiang Li (11430895) Yanlei Wang (235566) |
| dc.date.none.fl_str_mv | 2025-10-09T17:41:47Z |
| dc.identifier.none.fl_str_mv | 10.1371/journal.pone.0333905.g012 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/figure/Comparison_of_predicted_vs_actual_natural_gas_production_August_29_September_25_2023_with_predictive_performance_under_high-temperature_conditions_verifying_the_model_s_environmental_adaptability_/30320921 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Information Systems not elsewhere classified reduced computational complexity recurrent neural network liquid level detection feature engineering techniques experimental results demonstrate enhance model performance efficient resource management deep learning predictions applying rigorous preprocessing time series forecasting capture temporal dependencies bidirectional long short natural gas production term memory model gas production term memory term dependencies handle long accurate forecasting xlink "> study proposes study contributes strong candidate sequential data recent advancement providing insights operational planning new dataset innovative self future research energy sector dataset comparing critical parameters comprehensive dataset attention mechanism art algorithms |
| dc.title.none.fl_str_mv | Comparison of predicted vs. actual natural gas production (August 29–September 25, 2023), with predictive performance under high-temperature conditions verifying the model’s environmental adaptability. |
| dc.type.none.fl_str_mv | Image Figure info:eu-repo/semantics/publishedVersion image |
| description | <p>Comparison of predicted vs. actual natural gas production (August 29–September 25, 2023), with predictive performance under high-temperature conditions verifying the model’s environmental adaptability.</p> |
| eu_rights_str_mv | openAccess |
| id | Manara_367e68a85af667b4e5fcc4ae9c6ea2fe |
| identifier_str_mv | 10.1371/journal.pone.0333905.g012 |
| network_acronym_str | Manara |
| network_name_str | ManaraRepo |
| oai_identifier_str | oai:figshare.com:article/30320921 |
| publishDate | 2025 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | Comparison of predicted vs. actual natural gas production (August 29–September 25, 2023), with predictive performance under high-temperature conditions verifying the model’s environmental adaptability.Dong Wang (73290)Jian Lian (19690960)Chengjiang Li (11430895)Yanlei Wang (235566)Biological Sciences not elsewhere classifiedMathematical Sciences not elsewhere classifiedInformation Systems not elsewhere classifiedreduced computational complexityrecurrent neural networkliquid level detectionfeature engineering techniquesexperimental results demonstrateenhance model performanceefficient resource managementdeep learning predictionsapplying rigorous preprocessingtime series forecastingcapture temporal dependenciesbidirectional long shortnatural gas productionterm memory modelgas productionterm memoryterm dependencieshandle longaccurate forecastingxlink ">study proposesstudy contributesstrong candidatesequential datarecent advancementproviding insightsoperational planningnew datasetinnovative selffuture researchenergy sectordataset comparingcritical parameterscomprehensive datasetattention mechanismart algorithms<p>Comparison of predicted vs. actual natural gas production (August 29–September 25, 2023), with predictive performance under high-temperature conditions verifying the model’s environmental adaptability.</p>2025-10-09T17:41:47ZImageFigureinfo:eu-repo/semantics/publishedVersionimage10.1371/journal.pone.0333905.g012https://figshare.com/articles/figure/Comparison_of_predicted_vs_actual_natural_gas_production_August_29_September_25_2023_with_predictive_performance_under_high-temperature_conditions_verifying_the_model_s_environmental_adaptability_/30320921CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/303209212025-10-09T17:41:47Z |
| spellingShingle | Comparison of predicted vs. actual natural gas production (August 29–September 25, 2023), with predictive performance under high-temperature conditions verifying the model’s environmental adaptability. Dong Wang (73290) Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Information Systems not elsewhere classified reduced computational complexity recurrent neural network liquid level detection feature engineering techniques experimental results demonstrate enhance model performance efficient resource management deep learning predictions applying rigorous preprocessing time series forecasting capture temporal dependencies bidirectional long short natural gas production term memory model gas production term memory term dependencies handle long accurate forecasting xlink "> study proposes study contributes strong candidate sequential data recent advancement providing insights operational planning new dataset innovative self future research energy sector dataset comparing critical parameters comprehensive dataset attention mechanism art algorithms |
| status_str | publishedVersion |
| title | Comparison of predicted vs. actual natural gas production (August 29–September 25, 2023), with predictive performance under high-temperature conditions verifying the model’s environmental adaptability. |
| title_full | Comparison of predicted vs. actual natural gas production (August 29–September 25, 2023), with predictive performance under high-temperature conditions verifying the model’s environmental adaptability. |
| title_fullStr | Comparison of predicted vs. actual natural gas production (August 29–September 25, 2023), with predictive performance under high-temperature conditions verifying the model’s environmental adaptability. |
| title_full_unstemmed | Comparison of predicted vs. actual natural gas production (August 29–September 25, 2023), with predictive performance under high-temperature conditions verifying the model’s environmental adaptability. |
| title_short | Comparison of predicted vs. actual natural gas production (August 29–September 25, 2023), with predictive performance under high-temperature conditions verifying the model’s environmental adaptability. |
| title_sort | Comparison of predicted vs. actual natural gas production (August 29–September 25, 2023), with predictive performance under high-temperature conditions verifying the model’s environmental adaptability. |
| topic | Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Information Systems not elsewhere classified reduced computational complexity recurrent neural network liquid level detection feature engineering techniques experimental results demonstrate enhance model performance efficient resource management deep learning predictions applying rigorous preprocessing time series forecasting capture temporal dependencies bidirectional long short natural gas production term memory model gas production term memory term dependencies handle long accurate forecasting xlink "> study proposes study contributes strong candidate sequential data recent advancement providing insights operational planning new dataset innovative self future research energy sector dataset comparing critical parameters comprehensive dataset attention mechanism art algorithms |