基于经验挖掘与混合语言的海上风电制氢加氢港口选址研究
为辅助海上风电的加氢制氢港口选址决策问题,提出利用经验挖掘算法和混合语言型术语的多属性决策方法.首先,利用爬虫算法、TextRank算法、Word2Vec算法和Louvain算法对历史经验性文件进行挖掘、排序、构建词对和聚类,从而获取基于经验挖掘的属性集;其次,引入对偶自信语言,云模型和实数等语言术语兼顾定量和定性数据的表达,解决数据集转换失真问题;最后,引入标准化公式处理指标数据,获取综合排序结果,以海上风电的加氢制氢港口选址为案例,验证了方法的科学性和有效性.结果表明,考虑定性及定量评估,基于集中式制氢+液氢+购买/租赁船舶技术方案的选址方案A5 综合最优,敏感性分析表明气氢储运技术搭配船...
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| Published in | 中国电力 Vol. 57; no. 9; pp. 113 - 123 |
|---|---|
| Main Authors | , , , , , , |
| Format | Magazine Article |
| Language | Chinese |
| Published |
华北电力大学经济与管理学院,北京 102206%中南大学商学院,湖南长沙 410083%四川大学商学院,四川成都 610065
28.09.2024
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| Subjects | |
| Online Access | Get full text |
| ISSN | 1004-9649 |
| DOI | 10.11930/j.issn.1004-9649.202403015 |
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| Abstract | 为辅助海上风电的加氢制氢港口选址决策问题,提出利用经验挖掘算法和混合语言型术语的多属性决策方法.首先,利用爬虫算法、TextRank算法、Word2Vec算法和Louvain算法对历史经验性文件进行挖掘、排序、构建词对和聚类,从而获取基于经验挖掘的属性集;其次,引入对偶自信语言,云模型和实数等语言术语兼顾定量和定性数据的表达,解决数据集转换失真问题;最后,引入标准化公式处理指标数据,获取综合排序结果,以海上风电的加氢制氢港口选址为案例,验证了方法的科学性和有效性.结果表明,考虑定性及定量评估,基于集中式制氢+液氢+购买/租赁船舶技术方案的选址方案A5 综合最优,敏感性分析表明气氢储运技术搭配船舶运输是技术成熟度和经济性方面表现较好的技术方案. |
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| AbstractList | 为辅助海上风电的加氢制氢港口选址决策问题,提出利用经验挖掘算法和混合语言型术语的多属性决策方法.首先,利用爬虫算法、TextRank算法、Word2Vec算法和Louvain算法对历史经验性文件进行挖掘、排序、构建词对和聚类,从而获取基于经验挖掘的属性集;其次,引入对偶自信语言,云模型和实数等语言术语兼顾定量和定性数据的表达,解决数据集转换失真问题;最后,引入标准化公式处理指标数据,获取综合排序结果,以海上风电的加氢制氢港口选址为案例,验证了方法的科学性和有效性.结果表明,考虑定性及定量评估,基于集中式制氢+液氢+购买/租赁船舶技术方案的选址方案A5 综合最优,敏感性分析表明气氢储运技术搭配船舶运输是技术成熟度和经济性方面表现较好的技术方案. |
| Abstract_FL | To support the decision-making for site selection of offshore wind power-hydrogen production and refueling ports(OWP-HPRP),we propose a multi-attribute decision-making method using experience mining algorithm and hybrid linguistic terminologies.Initially,the crawler algorithm,TextRank algorithm,Word2Vec algorithm,and Louvain algorithm are used to facilitate the mining,ranking,word pairs construction,and clustering of historical empirical documents,and an experience mining based attribute set is thereby obtained.Secondly,the linguistic terminologies such as the duality-confidence linguistics,cloud models and real numbers are introduced to enable the accommodation of quantitative and qualitative data expressions and to solve the distortion problem in transformation of data set.Finally,a standardized formula is introduced to process the indicator data,and a comprehensive ranking result is thus obtained.The effectiveness of the proposed method was verified through a case study of site selection for an offshore wind power-hydrogen production and refueling port.The results show that according to both the qualitative and quantitative assessments,the site scheme A5 based on the technical scheme of centralized hydrogen production+liquid hydrogen+purchase/lease of ships is comprehensively optimal.The sensitivity analysis indicates that the technical scheme of gas hydrogen storage and transportation technology combined with shipping transportation has a good performance in technical maturity and economy. |
| Author | 黄宁泊 缑迅杰 许传博 高建伟 姜晓静 徐选华 赵舒通 |
| AuthorAffiliation | 华北电力大学经济与管理学院,北京 102206%中南大学商学院,湖南长沙 410083%四川大学商学院,四川成都 610065 |
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| Author_FL | HUANG Ningbo XU Chuanbo XU Xuanhua ZHAO Shutong JIANG Xiaojing GOU Xunjie GAO Jianwei |
| Author_FL_xml | – sequence: 1 fullname: HUANG Ningbo – sequence: 2 fullname: GAO Jianwei – sequence: 3 fullname: XU Chuanbo – sequence: 4 fullname: XU Xuanhua – sequence: 5 fullname: ZHAO Shutong – sequence: 6 fullname: GOU Xunjie – sequence: 7 fullname: JIANG Xiaojing |
| Author_xml | – sequence: 1 fullname: 黄宁泊 – sequence: 2 fullname: 高建伟 – sequence: 3 fullname: 许传博 – sequence: 4 fullname: 徐选华 – sequence: 5 fullname: 赵舒通 – sequence: 6 fullname: 缑迅杰 – sequence: 7 fullname: 姜晓静 |
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| Copyright | Copyright © Wanfang Data Co. Ltd. All Rights Reserved. |
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| DOI | 10.11930/j.issn.1004-9649.202403015 |
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| DocumentTitle_FL | Site Selection of Offshore Wind Power-Hydrogen Production and Refueling Ports Based on Empirical Mining and Hybrid Linguistic Approach |
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| Keywords | 海上风电 制氢加氢 experience minin duality-confidence double hierarchy linguistics 对偶自信双层语言 hydrogen production and refueling offshore wind power 经验挖掘 cloud model 云模型 |
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| Publisher | 华北电力大学经济与管理学院,北京 102206%中南大学商学院,湖南长沙 410083%四川大学商学院,四川成都 610065 |
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| Title | 基于经验挖掘与混合语言的海上风电制氢加氢港口选址研究 |
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