An accuracy assessment of an empirical sine model, a novel sine model and an artificial neural network model for forecasting illuminance/irradiance on horizontal plane of all sky types at Mahasarakham, Thailand

Energy Conversion and Management

Volumn 49, Issue 8, 2008, Pages 1999-2005

  Pattanasethanon, Singthong ^a   Lertsatitthanakorn, Charoenporn ^a   Atthajariyakul, Surat ^a   Soponronnarit, Somchart ^b  

^a MAHASARAKHAM UNIVERSITY   (Thailand)

^b KING MONGKUT'S UNIVERSITY OF TECHNOLOGY THONBURI   (Thailand)

Author keywords

Alternative model; Artificial neural network; Coefficient of correlation; Mean bias deviation; Root mean square deviation

Indexed keywords

CORRELATION METHODS; INTELLIGENT AGENTS; MATHEMATICAL MODELS; MEAN SQUARE ERROR; NEURAL NETWORKS; PARAMETER ESTIMATION;

ALTERNATIVE MODELS; COEFFICIENT OF CORRELATION; MEAN BIAS DEVIATION; ROOT-MEAN-SQUARE-DEVIATION;

CLIMATE CHANGE;

EID: 44449159235     PISSN: 01968904     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.enconman.2008.02.014     Document Type: Article

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