西班牙电力市场数据的挖掘和可视化

IF 3.4 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Eugenio Francisco Sánchez Ubeda, A. Muñoz, J. Villar
{"title":"西班牙电力市场数据的挖掘和可视化","authors":"Eugenio Francisco Sánchez Ubeda, A. Muñoz, J. Villar","doi":"10.4114/IA.V10I29.880","DOIUrl":null,"url":null,"abstract":"The available amount of data for the companies that operate in the Spanish electricity market is very high, and contains information which is potentially very valuable. The knowledge about the strategic behavior of a market agent competitors can be obtained from the supply curves, given a competitive advantage to the agent for its operation. In this article a methodology for the analysis of the supply curves based on Data Mining techniques is proposed, including many examples showing the type of knowledge that can be obtained from the available data. This approach, combined with a complete information system, is being used successfully for many years in Endesa.","PeriodicalId":43470,"journal":{"name":"Inteligencia Artificial-Iberoamerical Journal of Artificial Intelligence","volume":null,"pages":null},"PeriodicalIF":3.4000,"publicationDate":"2006-01-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Minería y visualización de datos del mercado eléctrico español\",\"authors\":\"Eugenio Francisco Sánchez Ubeda, A. Muñoz, J. Villar\",\"doi\":\"10.4114/IA.V10I29.880\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The available amount of data for the companies that operate in the Spanish electricity market is very high, and contains information which is potentially very valuable. The knowledge about the strategic behavior of a market agent competitors can be obtained from the supply curves, given a competitive advantage to the agent for its operation. In this article a methodology for the analysis of the supply curves based on Data Mining techniques is proposed, including many examples showing the type of knowledge that can be obtained from the available data. This approach, combined with a complete information system, is being used successfully for many years in Endesa.\",\"PeriodicalId\":43470,\"journal\":{\"name\":\"Inteligencia Artificial-Iberoamerical Journal of Artificial Intelligence\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":3.4000,\"publicationDate\":\"2006-01-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Inteligencia Artificial-Iberoamerical Journal of Artificial Intelligence\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.4114/IA.V10I29.880\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Inteligencia Artificial-Iberoamerical Journal of Artificial Intelligence","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4114/IA.V10I29.880","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE","Score":null,"Total":0}
引用次数: 2

摘要

对于在西班牙电力市场运营的公司来说,可用的数据量非常大,其中包含的信息可能非常有价值。市场代理人竞争者的战略行为知识可以从供给曲线中获得,假设代理人的经营具有竞争优势。本文提出了一种基于数据挖掘技术的供给曲线分析方法,包括许多例子,展示了可以从可用数据中获得的知识类型。这种方法与一个完整的信息系统相结合,已在恩德萨成功地使用了多年。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Minería y visualización de datos del mercado eléctrico español
The available amount of data for the companies that operate in the Spanish electricity market is very high, and contains information which is potentially very valuable. The knowledge about the strategic behavior of a market agent competitors can be obtained from the supply curves, given a competitive advantage to the agent for its operation. In this article a methodology for the analysis of the supply curves based on Data Mining techniques is proposed, including many examples showing the type of knowledge that can be obtained from the available data. This approach, combined with a complete information system, is being used successfully for many years in Endesa.
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
CiteScore
2.00
自引率
0.00%
发文量
15
审稿时长
8 weeks
期刊介绍: Inteligencia Artificial is a quarterly journal promoted and sponsored by the Spanish Association for Artificial Intelligence. The journal publishes high-quality original research papers reporting theoretical or applied advances in all branches of Artificial Intelligence. The journal publishes high-quality original research papers reporting theoretical or applied advances in all branches of Artificial Intelligence. Particularly, the Journal welcomes: New approaches, techniques or methods to solve AI problems, which should include demonstrations of effectiveness oor improvement over existing methods. These demonstrations must be reproducible. Integration of different technologies or approaches to solve wide problems or belonging different areas. AI applications, which should describe in detail the problem or the scenario and the proposed solution, emphasizing its novelty and present a evaluation of the AI techniques that are applied. In addition to rapid publication and dissemination of unsolicited contributions, the journal is also committed to producing monographs, surveys or special issues on topics, methods or techniques of special relevance to the AI community. Inteligencia Artificial welcomes submissions written in English, Spaninsh or Portuguese. But at least, a title, summary and keywords in english should be included in each contribution.
×
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