西班牙电力市场数据的挖掘和可视化

IF 3.4 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

Inteligencia Artificial-Iberoamerical Journal of Artificial Intelligence Pub Date : 2006-01-05 DOI:10.4114/IA.V10I29.880

Eugenio Francisco Sánchez Ubeda, A. Muñoz, J. Villar

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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。

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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.

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来源期刊

Inteligencia Artificial-Iberoamerical Journal of Artificial Intelligence COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE-

CiteScore

2.00

自引率

0.00%

发文量

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.