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短期负荷预计的专家知识系统
引用本文:张清益,陈益. 短期负荷预计的专家知识系统[J]. 大众用电, 1994, 0(4)
作者姓名:张清益  陈益
作者单位:湖南省电力中心调度所
摘    要:本文介绍一个短期负荷预计的知识系统。为了借助专家知识和系统运行人员的经验,需建立负荷计算中具有不同意义的许多不同负荷形态的每一种形式。由专家系统考虑的专门日类型包括:春节一周中极低的负荷;暴风雨或台风日的特殊负荷特性;星期六某些工厂部分停产;由于节假日导致星期五和星期一特别方式等等。所推荐专家知识库系统的特,或是容易对知识库加入新信息和新规则。

关 键 词:负荷预计,专家系统,人工智能

A Knowledge-Based Expert System of The short Load Forecasting
Zhang Qinyi,Chen Yi. A Knowledge-Based Expert System of The short Load Forecasting[J]. Popular Utilization of Electricity, 1994, 0(4)
Authors:Zhang Qinyi  Chen Yi
Affiliation:Zhang Qinyi;Chen Yi
Abstract:A knowledge based system is proposed for the short term load fore-casting. To benefit from the experf knowledge and experience of the system opera-tor,many different load shapes,each with different means of load Calculations, are established.The special load types considered by the expert system include the ex-tremely lovv load levels during the week of the Chinese New Year, the special load characteristics of the days following a tropical storm or a typhoon,the partial shut-down of certain factories on saturdays and the special events Caused by a Holiday on Friday or on Monday,etc. The characteristic feature of the proposed knowledge-based expert system is that it is easy to add new information and new rules to the knowledge base.
Keywords:load forecasting  expert system  artificial intelligence  
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