Water Supply Reservoir Operating Rules Extraction Based on Data Mining
基于数据挖掘的水库供水调度规则提取

This paper explores the application of data mining in reservoir operating rules extraction with a case of water supply operation.Five characteristic attributes of reservoir storage,within-year operating period number,water demand,reservoir inflow and hydrologic year type are selected to compose databases from which reservoir operating rule patterns are identified using data mining.Radial basic function(RBF) network is utilized as date mining algorithm to perform mapping of data samples from complex attribute space to several discrete water supply operating patterns,hence completing pattern division of water supply operating rules.To validate the effectiveness of data mining using for operating rules extraction,we also provide operation results of traditional operating chart and operating functions for comparison.And the result comparison analysis shows that data mining is the best method for reservoir operating rules extraction in terms of both correct operating pattern division ratio and water deficiency index,which demonstrates that application of data mining in reservoir operation is practicable and effective.