[1]章曙光.基于CBR的电力负荷预测系统的研究与实现[J].计算机技术与发展,2006,(05):234-236.
　ZHANG Shu-guang.Research and Realization of Power Load Forecasting System Based on CBR[J].,2006,(05):234-236.
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基于CBR的电力负荷预测系统的研究与实现()

《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
期数:
2006年05期
页码:
234-236
栏目:
应用开发研究
出版日期:
1900-01-01

文章信息/Info

Title:
Research and Realization of Power Load Forecasting System Based on CBR
文章编号:
1673-629X（2006）05-0234-03
作者:
章曙光
安徽建筑工业学院计算机与信息工程系
Author(s):
ZHANG Shu-guang
Dept, of Computer and Info. Eng., Anhui Institute of Architecture
关键词:
基于范例的推理; 负荷预测; 电力系统
Keywords:
CBR;  load forecasting;  power system
分类号:
TP18
文献标志码:
A
摘要:
随着电力系统的发展，负荷预测受到广泛重视。但由于它受到大量不确定因素的影响，导致电力负荷预测是一项重要而又非常复杂的工作，预测过程需要考虑多种因素。介绍了CBR的基本原理与方法，在分析相关技术的基础上，建立了一个基于CBR的电力负荷预测系统。实验分析结果表明该方法具有有效性和实用性，也说明了CBR在电力负荷预测系统的应用是提高电力系统生产规划、运行调度与管理水平，实现安全、高效和经济调度的重要技术手段
Abstract:
With the development of power system, load forecating has received much attention. Electric load is affected by many uncertain factors, so it is an important and complicated work, end needs to consider many factors in forecasting process, The paper introduces the prineiph and method of CBR and builds a model of power load forecasting system by analyzing the related technologies. Experimental analysis indicates that the method is effective and practical, and that CBR used in load forecasting system is the key technical measure to raise the level of production planning, operation dispatch and management, and to implement the safe and economical dispatch

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备注/Memo

备注/Memo:
安徽省教育厅高等学校青年教师科研项目（2005jq1145）：院基金项目（2003-100-11）章曙光（1970-），男，安徽人。讲师，硕士。主要研究方向为人工智能和机器学习
更新日期/Last Update: 1900-01-01