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Mining Rules from Electrical Load Time Series Data Set
作者姓名:郑斌祥  Xi Yugen  Du Xiuhua  Li Shaoyuan
作者单位:InstituteofAutomation,ShanghaiJiaotongUniversity,Shanghai200030,P.R.China
摘    要:The mining of the rules from the electrical load time series data which are collected from the EMS(Energy Management System)is discussed.The data from the EMS are too huge and sophisticated to be understood and used y the power system engineer,while useful information is hidden in the electrical load data,The authors discuss the use of fuzzy linguistic summary as data mining method to induce the rules from the electrical load time series.The data preprocessing techniques are also discussed in the paper.

关 键 词:电力工业  电负荷  时序数据  数据预处理技术

Mining Rules from Electrical Load Time Series Data Set
Xi Yugen,Du Xiuhua,Li Shaoyuan.Mining Rules from Electrical Load Time Series Data Set[J].High Technology Letters,2002,8(1):41-45.
Authors:Xi Yugen  Du Xiuhua  Li Shaoyuan
Abstract:The mining of the rules from the electrical load time series data which are collected from the EMS (Energy Management System) is discussed. The data from the EMS are too huge and sophisticated to be understood and used by the power system engineer, while useful information is hidden in the electrical load data. The authors discuss the use of fuzzy linguistic summary as data mining method to induce the rules from the electrical load time series. The data preprocessing techniques are also discussed in the paper.
Keywords:Data mining  Fuzzy linguistic summary  Time series  Electrical load
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