多agent的短期负荷预测系统

将智能主体(agent)技术应用到短期负荷预测系统中,提出了基于多agent的负荷预测系统的功能分层模型。针对如何从web页面提取有用的数据并将其集成并入到数据库中这一重要问题,提出结合agent技术将HTML(hypertext markup language)页面转化为XML(extensiblemarkup language)数据源的方法,使得在论文提出的功能结构中,数据采集层除具备基本的数据采集功能外,同时具备集成web页面的数据信息到系统数据库中的功能。给出了功能agent的实现方案。最后以一个实例证明了该方法的有效性。

A short-time load forecasting system based on multi-agent system

Agent technology was applied in a short-time load forecasting system and a layered model was proposed based on the load forecasting system.In order to develop a means of extracting useful data from web page and integrate the data into a database,a useful method was given which can transfer an HTML page into data source for XML using agent technology.Thus,in functional structures,the data gathering layer possesses the basic function of gathering the data,and the function of extracting useful data from web pages and integrating the data into system database.A scheme of an agent function module was obtained and was confirmed by a real example.