Artificial neural network based daily local forecasting for global solar radiation

Applied Energy

Volumn 130, Issue , 2014, Pages 333-341

  Amrouche, Badia ^a   Le Pivert, Xavier ^b  

^a CENTRE DE DÉVELOPPEMENT DES ENERGIES RENOUVELABLES   (Algeria)

^b CEA INES   (France)

Author keywords

Artificial neural networks; Daily forecasting; Global horizontal irradiance; Photovoltaic energy; Spatial modelling

Indexed keywords

NEURAL NETWORKS; PHOTOVOLTAIC CELLS; SOLAR RADIATION; SUN; WEATHER FORECASTING;

GLOBAL HORIZONTAL IRRADIANCE; GLOBAL SOLAR IRRADIATION; GLOBAL SOLAR RADIATION; GRID-CONNECTED PHOTOVOLTAIC; NATIONAL OCEANIC AND ATMOSPHERIC ADMINISTRATION; PHOTOVOLTAIC ENERGY; SPATIAL MODELLING; VALIDATION RESULTS;

ELECTRIC GENERATORS;

ARTIFICIAL NEURAL NETWORK; DIURNAL VARIATION; IRRADIANCE; MODEL VALIDATION; NOAA SATELLITE; PHOTOVOLTAIC SYSTEM; POWER GENERATION; SOLAR RADIATION; SPATIAL ANALYSIS; WEATHER FORECASTING;

FRANCE;

EID: 84902470245     PISSN: 03062619     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.apenergy.2014.05.055     Document Type: Article

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