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Peramalan Sinaran Suria Global Melalui Kaedah Berstatistik (Forecasting Global Solar Radiation Using Statistical Method)

Mohd. Anuar bin Abdul Karim, and Ahmad Mahir bin Razali, (2002) Peramalan Sinaran Suria Global Melalui Kaedah Berstatistik (Forecasting Global Solar Radiation Using Statistical Method). Sains Malaysiana , 31 . pp. 149-158. ISSN 01266039

Full text not available from this repository.

Official URL: http://pkukmweb.ukm.my/~jsm/english_journals/vol31_2002/vol31_02page149-158.html

Affiliations

National Productivity Corporation (NPC)
Universiti Kebangsaan Malaysia, Faculty of Science and Technology. School of Chemical Sciences and Food Technology

Abstract

The purpose of this study is to forecast the monthly average daily solar radiation in Malaysia based on the meteorology factors such as sunshine hours, relative humidity, total rainfall and wind speed. Two types of statis­tical modeling have been used. There were multiple linear regression and the time series auto regression moving average model. Analysis showed that the multiple linear regressions with two independence variables provide the minimum mean square error compared to the other forecasting models. The efficiency of forecasting was 91.93 %. The percentages were gathered from the differences from the actual value of solar radiation data (December 1997) and the forecasting value. It is suggested that the model will be implemented as a forecasting model for gathering the daily solar radiation data in Lapangan Terbang Sultan Abdul Aziz Shah Subang and generally in Malaysia.

Kajian ini bermatlamat untuk meramal purata bulanan sinaran suria harian berdasarkan kepada faktor-faktor meteorologi seperti jumlah jam penerimaan matahari, kelembapan relatif, jumlah hujan serta kelajuan angin. Dua kaedah pemodelan berstatistik digunakan iaitu kaedah pemodelan regresi linear berganda dan kaedah siri masa yang berdasarkan model gabungan auto regresi purata bergerak (ARPB). Berdasarkan analisis yang telah dijalankan didapati model regresi linear berganda yang mempunyai dua pemboleh ubah tidak bersandar menghasilkan nilai min kuasadua ralat yang paling minimum berbanding dengan model-model peramalan yang lain. Hasil peramalan daripada model tersebut bagi data selama sebulan iaitu bulan Disember 1997 mendapati kecekapan peramalan yang dibuat adalah sebanyak 91.93%. Oleh itu, adalah dicadangkan bahawa model yang diperolehi digunakan sebagai model peramalan jumlah sinaran suria harian di Lapangan Terbang Sultan Abdul Aziz Shah Subang dan amnya di Malaysia.

Item Type:Journal
Keywords:Solar radiation, Malaysia, statistical modeling
Subjects:Q Science, Computer Science
ID Code:2997

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