Multivariate Imputation Chained Equation on Solar Radiation in Automatic Weather Station

Authors

Gema Akbar , Prawito Prajitno , Ariffudin , Naufal Ananda

DOI:

10.29303/jppipa.v10i7.7679

Published:

2024-07-25

Issue:

Vol. 10 No. 7 (2024): July: In Press

Keywords:

AWS, Imputation, MICE, Missing data, Solar radiation

Research Articles

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Akbar, G., Prajitno, P., Ariffudin, & Ananda, N. (2024). Multivariate Imputation Chained Equation on Solar Radiation in Automatic Weather Station. Jurnal Penelitian Pendidikan IPA, 10(7), 3633–3639. https://doi.org/10.29303/jppipa.v10i7.7679
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Abstract

Solar radiation is one of the crucial weather observation variables Its variable has a role in renewable energy solutions, agriculture, meteorology, and hydrology. AWS is one of instrument that use to observing weather especially solar radiation. AWS has a pyranometer sensor used to measure solar radiation. Unfortunately, the instrument has problem like the igh cost of supplying, installing, maintaining, and calibrating the equipment. Due to this, there is a lot of empty data, and the actual data cannot be properly measured.  Imputation of solar radiation data using MICE algorithm can be solution. This study using BLR, NRR and RFR estimator to estimating solar radiation data. AWS Staklim Banten as target and other AWS as input. The period from January 1, 2018 - February 12, 2024. The performance evaluation of the solar radiation imputation estimator is still according to WMO operational requirements for solar radiation measurements, which can be seen from the resulting MAPE value < 8%.

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Author Biographies

Gema Akbar, Universitas Indonesia

Prawito Prajitno, Universitas Indonesia

Ariffudin, Universitas Indonesia

Naufal Ananda, Meteorological Climatological Agency Indonesia

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