为实现对移徙者的融合而采取的措施(2006-2018年):萨雷马模式应用于预测苏丹苏丹的电力消耗(2006-2018年)

Nada Mohammed Ahmed Alamin
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引用次数: 0

摘要

研究的目的是要达到每月用电量的预测杰济拉州苏丹时期(2018年6月- 2020年12月)通过应用电力消费的历史数据(2006年1月- 2018年5月)从国家控制中心,获得的研究方法已应用于季节性自回归综合移动平均线由于季节性行为的数据,很好的预测给出了SARIMA (2, 1, 7) (0, 1, 1),用蒂尔系数检验了它的质量。研究建议在具有季节行为的数据中使用季节自回归综合移动平均模型,因为该模型应用简单且结果准确。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Application of SARIMA Model for Forecasting Consumption of Electricity in Gezira State, Sudan (2006-2018): تطبيقات نماذج ساريما للتنبؤ باستهلاك الكهرباء في ولاية الجزيرة, السودان  (2006- 2018)
    The purpose of the research is to reach the forecast of monthly electricity consumption in Gezira state, Sudan for the period (Jun 2018 - Dec 2020) through the application to the historical data of electric power consumption (Jan 2006-May 2018) obtained from the National Control Center, which has been applied in the research methodology of seasonal Autoregressive Integrated Moving Average due to seasonal behavior in the data, good forecast has been given by SARIMA (2, 1, 7) (0, 1, 1), which has been examined its quality using the Thiel coefficient. The study recommended the use of the model of seasonal Autoregressive Integrated Moving Average in data with Seasonal behavior due to its simple application and accuracy of the results reached.    
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