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Time series SARIMA models for average monthly solar radiation in Malaysia

机译:时间序列Sarima Model Malaysia的平均月度太阳辐射模型

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Modeling and forecasting solar radiation data give a great use for the development of solar energy in Malaysia. In this paper, the Box-Jenkins approach was applied to solar radiation data from two different locations in Malaysia, which are Mersing and Kuala Terengganu. The corrected Akaike Information Criterion (AICc) is used to compare different Box-Jenkins models that are considered. The purpose of the study is to forecast the potential use of solar radiation to produce energy. The seasonal moving average model of order 1, SARIMA (0,0,0)×(0,1,1)12 was suitable to model solar radiation data in Kuala Terengganu and the Mersing. Ljung-Box statistic was used in diagnostic checking, which showed that the models were adequate.
机译:建模和预测太阳辐射数据对于马来西亚的太阳能发展提供了很好的用途。在本文中,箱子詹金斯方法应用于来自马来西亚的两个不同地点的太阳辐射数据,这是Mersing和Kuala Terengganu。纠正的akaike信息标准(AICC)用于比较所考虑的不同Box-Jenkins模型。该研究的目的是预测太阳辐射的潜在使用来产生能量。季节性移动平均订单1,Sarima(0,0,0,0)×(0,1,1)12适用于吉尔瓦·滕本鲁和Mersing的太阳辐射数据。 Ljung-Box统计在诊断检查中使用,这表明模型足够了。

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