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Journal from gdlhub / 2020-01-09 14:52:53
Oleh : Ibrahim S. Madugu,B. J. Olufeagba,Yinusa A. Adediran, F. Abdulkadir,A. Abdulkarim,James U. Inaku,A. U. Lawan, Telkomnika
Dibuat : 2020-01-09, dengan 1 file

Keyword : mean absolute percentage error, solar radiation, sum of square error, root mean square error, time series
Url : http://journal.uad.ac.id/index.php/TELKOMNIKA/issue/view/640
Sumber pengambilan dokumen : web

Energy for fulfilling basic community/individual needs has come to constitute the first article of

expectation in all contemporary societies. The exploitation of renewables notably solar in electricity

generation has brought relief to the fulfilment of energy demand especially among susceptible

communities. In this paper yearly minimum solar radiation of Kano (12.05°N; 08.2°E; altitude 472.5 m; 3 air

density 1.1705 kg/m3) for 46 years is used to generate a prediction model that fits the data using

autoregressive moving average (ARMA) and a new model termed autoregressive moving average process

(ARMAP). Comparison between the ARMA and ARMAP models showed a tremendous improve in the sum

of square error reduction between the actual data and the forecasted data by 47%.

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