数据挖掘在电力系统中的应用

S. Madan, Won-Kuk. Son, K. Bollinger
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引用次数: 27

摘要

数据挖掘是一个新兴的跨学科领域,引起了机器学习、机器发现、统计学、智能数据库、工程、知识获取、数据可视化和专家系统等领域研究人员的兴趣。数据挖掘的重点是对大型信息档案中可能存在的新的、有用的和有趣的关系进行分类。从存档数据中发现关系是机器学习算法的一个潜在强大应用。本文介绍了数据挖掘和头脑风暴在电力系统中的应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Applications of data mining for power systems
Data mining is a new inter disciplinary area which has caught the interest of researchers in the field of machine learning, machine discovery, statistics, intelligent databases, engineering, knowledge acquisition, data visualization, and expert systems. Data mining focuses on the classification of new, useful and interesting relationships that may exist within the large archives of information. The discovery of relations from archived data is a potentially powerful application of machine learning algorithms. The paper describes data mining and brainstorms on its application to power systems.
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