Prediction of daily global solar irradiation using temporal Gaussian processes

IEEE Geoscience and Remote Sensing Letters

Volumn 11, Issue 11, 2014, Pages 1936-1940

  Salcedo Sanz, Sancho ^a   Casanova Mateo, Carlos ^b   Muñoz Marí, Jordi ^c   Camps Valls, Gustau ^c  

^a UNIVERSITY OF ALCALÁ   (Spain)

^b UNIVERSITY OF VALLADOLID   (Spain)

^c UNIVERSITY OF VALENCIA   (Spain)

Author keywords

Covariance; Gaussian process regression (GPR); physical parameter retrieval; solar irradiation

Indexed keywords

ARTIFICIAL INTELLIGENCE; GAUSSIAN DISTRIBUTION; GAUSSIAN NOISE (ELECTRONIC); LEARNING SYSTEMS; METEOROLOGY; WEATHER FORECASTING;

COVARIANCE; GAUSSIAN PROCESS REGRESSION; GLOBAL SOLAR IRRADIATION; MACHINE LEARNING TECHNIQUES; NUMERICAL WEATHER PREDICTION MODELS; PHYSICAL PARAMETERS; SOLAR IRRADIATION; STATISTICAL REGRESSION;

SOLAR RADIATION;

EID: 84901819940     PISSN: 1545598X     EISSN: None     Source Type: Journal    
DOI: 10.1109/LGRS.2014.2314315     Document Type: Article

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