ARMA MODEL FOR PREDICTION OF SOLAR RADIATION IN KANO-NIGERIA

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dc.contributor.authorIbrahim S. Madugu, B. J. Olufeagba, Yinusa A. Adediran, A. Abdulkarim F. Abdulkadir, James. U. Inaku, Olalekan Ogunbiyi, O. Ibrahim, A. U. Lawan and Mubarak A. Afolayan
dc.date.accessioned2024-11-05T23:34:12Z
dc.date.available2024-11-05T23:34:12Z
dc.date.issued2019
dc.description.abstractStatistical approach is one of the most prominent ways of forecasting a trend of a time series data such as solar radiation. This paper explore the autoregressive integrated moving average (ARMA) model using Box and Jenkins methodology to determine the most parsimonious model of Kano, Nigeria solar radiation time series. The result obtained showed that ARMA(3,0) has the least value of Root Mean Square Error (RMSE), Sum Of Square (SSE), Mean Absolute Percentage Error (MAPE) and Theil’s U-Statistics with 0.0004, 0.0422, 0.0388 and 0.0061 respectively. Therefore ARMA(3,0) is the best model that fits the solar radiation data and hence the most parsimonious.
dc.identifier.issn0261 – 1570.
dc.identifier.urihttps://kwasuspace.kwasu.edu.ng/handle/123456789/2615
dc.language.isoen
dc.publisherZaria Journal of Electrical Engineering Technology, Department of Electrical Engineering, Ahmadu Bello University, Zaria – Nigeria.
dc.relation.ispartofseries8; 1
dc.titleARMA MODEL FOR PREDICTION OF SOLAR RADIATION IN KANO-NIGERIA
dc.typeArticle
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