西北电网短期负荷预测软件系统的设计与实现  

Design and Application of Short Term Load Forecasting Software System in Northwest Grid

作　　者：孙骁强[1,2] 张伏生[1] 高鑫 

机构地区：[1]西安交通大学,电气工程学院,陕西西安710049 [2]西北电网有限公司,调度通信中心,陕西西安710048

出　　处：《西北水力发电》2005年第3期9-12,共4页Journal of Northwest Hydroelectric Power

摘　　要：本文介绍了西北电网短期负荷预测软件系统.该系统包含相似日、时间序列、人工神经网络和偏最小二乘回归分析四种短期负荷预测方法.预测结果表明该系统能够满足西北电网短期负荷预测的需要,预测结果合理,界面友好、操作方便,在很大程度上提高了调度人员的劳动效率.A short term load forecasting software system for Northwest Grid is presented in this paper. Similar day, time series, artificial neural networks and partial least squares regression are used in this short term load forecasting software. It has been proved by using practical data that the system can commendably satisfy demands of the short term load forecasting for Northwest Grid, and can increase dispatcher＇s work efficiency, with accurate future load magnitudes, friendly man-machine interfaces and convenient accesses.

关 键 词：短期负荷预测 客户机/服务器 人工神经网络 偏最小二乘回归 

分 类 号：TM714[电气工程—电力系统及自动化]