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Software design and evaluation of a microcomputer-based automated load forecasting system

机译:基于微机的自动负荷预测系统的软件设计和评估

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A discussion is presented of the software design and evaluation of a microcomputer-based automated load forecasting system. This system is based on an IBM RT/PC microcomputer, and Extended Fortran, Ratfor, and C languages. The online load and weather data collection, filtering, archiving, and load forecasting are totally automated. The forecast is based on the relationship between weather and electric utility load (MW) as extracted from historical data. 'If. . .then' types of rules and other statistical relationships form the rule-base of the algorithm. This rule-base has been applied to generate the hourly system load forecasts for 1983 and 1986 in the Virginia Power service area. A 24 hour load forecast takes 20 seconds on the IBM-RT/PC. The absolute annual averages of the hourly load forecasts errors are found to be 1.437% and 1.298% for 1983 and 1986, respectively. Out of these two years, there were only nine occasions when the software failed to predict the hour of the daily peak. Moreover, these peaks were missed by only one hour.
机译:讨论了基于微计算机的自动负荷预测系统的软件设计和评估。该系统基于IBM RT / PC微型计算机以及Extended Fortran,Ratfor和C语言。在线负荷和天气数据收集,过滤,存档和负荷预测是完全自动化的。预测基于从历史数据中提取的天气和电力负荷(MW)之间的关系。 '如果。 。则规则的类型和其他统计关系形成算法的规则库。此规则库已用于生成Virginia Power服务区域中1983年和1986年的每小时系统负荷预测。在IBM-RT / PC上,24小时的负载预测需要20秒。发现每小时负荷预测误差的绝对年度平均值分别为1983年和1986年的1.437%和1.298%。在这两年中,只有九次软件无法预测每日高峰时间。而且,这些峰仅错过了一个小时。

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