{"title":"用于预测中国石油和天然气消费量的稳健叠加模型","authors":"Yali Hou, Qunwei Wang, Tao Tan","doi":"10.1080/15567249.2023.2292235","DOIUrl":null,"url":null,"abstract":"Accurate prediction of oil and natural gas consumption (ONGC) is crucial for energy security and greenhouse gas emission control. This study uses machine learning to improve forecast accuracy by tr...","PeriodicalId":50527,"journal":{"name":"Energy Sources Part B-Economics Planning and Policy","volume":null,"pages":null},"PeriodicalIF":3.9000,"publicationDate":"2023-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A robust stacking model for predicting oil and natural gas consumption in China\",\"authors\":\"Yali Hou, Qunwei Wang, Tao Tan\",\"doi\":\"10.1080/15567249.2023.2292235\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Accurate prediction of oil and natural gas consumption (ONGC) is crucial for energy security and greenhouse gas emission control. This study uses machine learning to improve forecast accuracy by tr...\",\"PeriodicalId\":50527,\"journal\":{\"name\":\"Energy Sources Part B-Economics Planning and Policy\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":3.9000,\"publicationDate\":\"2023-12-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Energy Sources Part B-Economics Planning and Policy\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://doi.org/10.1080/15567249.2023.2292235\",\"RegionNum\":4,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"Chemical Engineering\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Energy Sources Part B-Economics Planning and Policy","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1080/15567249.2023.2292235","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"Chemical Engineering","Score":null,"Total":0}
A robust stacking model for predicting oil and natural gas consumption in China
Accurate prediction of oil and natural gas consumption (ONGC) is crucial for energy security and greenhouse gas emission control. This study uses machine learning to improve forecast accuracy by tr...
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