预测短期煤炭消耗的方法

Thomas Garvin, Myron Olstein, R.Blaine Roberts , David I. Toof
{"title":"预测短期煤炭消耗的方法","authors":"Thomas Garvin,&nbsp;Myron Olstein,&nbsp;R.Blaine Roberts ,&nbsp;David I. Toof","doi":"10.1016/0147-8001(78)90006-2","DOIUrl":null,"url":null,"abstract":"<div><p>This paper is the result of an eighteen month effort to develop a short-term demand forecasting model for bituminous coal and lignite. The work reported in this paper was developed under contract from the Federal Energy Administration by a team from Arthur Young &amp; Company and the University of Florida. However, the opinions expressed in this paper are those of the authors and do not represent any official opinion of any agency of the Federal Government or Arthur Young &amp; Company.</p></div>","PeriodicalId":101267,"journal":{"name":"Urban Systems","volume":"3 1","pages":"Pages 53-69"},"PeriodicalIF":0.0000,"publicationDate":"1978-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/0147-8001(78)90006-2","citationCount":"0","resultStr":"{\"title\":\"A methodology to predict short-term coal consumption\",\"authors\":\"Thomas Garvin,&nbsp;Myron Olstein,&nbsp;R.Blaine Roberts ,&nbsp;David I. Toof\",\"doi\":\"10.1016/0147-8001(78)90006-2\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>This paper is the result of an eighteen month effort to develop a short-term demand forecasting model for bituminous coal and lignite. The work reported in this paper was developed under contract from the Federal Energy Administration by a team from Arthur Young &amp; Company and the University of Florida. However, the opinions expressed in this paper are those of the authors and do not represent any official opinion of any agency of the Federal Government or Arthur Young &amp; Company.</p></div>\",\"PeriodicalId\":101267,\"journal\":{\"name\":\"Urban Systems\",\"volume\":\"3 1\",\"pages\":\"Pages 53-69\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1978-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1016/0147-8001(78)90006-2\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Urban Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/0147800178900062\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Urban Systems","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/0147800178900062","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

本文是历时18个月开发烟煤和褐煤短期需求预测模型的成果。本文中报告的工作是根据联邦能源管理局的合同由Arthur Young &公司和佛罗里达大学合作。然而,本文中表达的观点是作者的观点,不代表任何联邦政府机构或Arthur Young &公司。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A methodology to predict short-term coal consumption

This paper is the result of an eighteen month effort to develop a short-term demand forecasting model for bituminous coal and lignite. The work reported in this paper was developed under contract from the Federal Energy Administration by a team from Arthur Young & Company and the University of Florida. However, the opinions expressed in this paper are those of the authors and do not represent any official opinion of any agency of the Federal Government or Arthur Young & Company.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信