电气技术Issue(12)：152-154,3.
一种基于SVM的电力行业物资需求预测方法
The Kind of Electric Power Industry Material Demand Forecasting Method based on SVM
摘要
Abstract
The method, based on SVM, a kind of electric power industry material demand forecasts ,has been proposed, in order to reduce audit work of the material demand, improving the efficiency and accuracy. Firstly, the method analyzed historical sample data and translated materials demand audit into classification problem. Secondly, it need preprocessing the data, making it standardization. Defining and extracting demand characteristics by combining power domain knowledge base. Finally, support vector machine, by training model, finished the audit work on types and amounts of material purchase.关键词
支持向量机/分类/领域知识库/物资采购/审核Key words
SVM/classification/domain knowledge base/material purchasing/review引用本文复制引用
韩戟,何成浩,苏星,施成云,刘东映..一种基于SVM的电力行业物资需求预测方法[J].电气技术,2016,(12):152-154,3.基金项目
云南电网有限公司科技项目基金资助项目 （）
