首页 | 本学科首页   官方微博 | 高级检索  
     

上海市发电量叠合预测模型的研究
引用本文:张国忠 黄克明 等. 上海市发电量叠合预测模型的研究[J]. 电力自动化设备, 2001, 21(7): 19-21
作者姓名:张国忠 黄克明 等
作者单位:武汉大学动力与机械工程学院
摘    要:分析了上海市发电量数据的特点,给出了叠合模型。应用2阶对称滑动平均方法提取了趋势项。根据叠合模型可进一步分解出周期项和随机项。利用数据资料对上海市发电量作了实例计算。并将叠合模型与ARIMA的预测结果进行了比较。预测结果表明此方法简单有效。对于含有趋势性和周期性的时间序列辨识、预测具有一定的参考价值。

关 键 词:发电量 数学模型 趋势项 周期项 时间序列 预测 发电企业
文章编号:1006-6047(2001)07-0019-03

Study on Additive Forecasting Model of Electricity Generation in Shanghai
ZHANG Guo zhong,HUANG Ke ming,NIE Wen xi,YE Zhen. Study on Additive Forecasting Model of Electricity Generation in Shanghai[J]. Electric Power Automation Equipment, 2001, 21(7): 19-21
Authors:ZHANG Guo zhong  HUANG Ke ming  NIE Wen xi  YE Zhen
Abstract:The electricity generation characteristics of Shanghai are analyzed and an additive model is given.The trend term is drawn from the data by second order symmetric moving average method.Then,the periodic term and stochastic term are resolved based on additive model.With the electricity generation data of Shanghai,the forecasting calculations are done as an example.The forecasting calculation results of additive model and ARIMA are compared.It shows the simpleness and effectiveness of this method.It is suitable for the identifying and forecasting of time series with trend and period.
Keywords:time series  trend term  periodic term  least square method  
本文献已被 CNKI 维普 万方数据 等数据库收录!
点击此处可从《电力自动化设备》浏览原始摘要信息
点击此处可从《电力自动化设备》下载全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号