Combining solar irradiance measurements, satellite-derived data and a numerical weather prediction model to improve intra-day solar forecasting

Renewable Energy

Volumn 97, Issue , 2016, Pages 599-610

  Aguiar, L Mazorra ^a   Pereira, B ^a   Lauret, P ^b   Diaz F ^a   David, M ^b  

^a UNIVERSITY OF LAS PALMAS DE GRAN CANARIA   (Spain)

^b UNIVERSITÉ DE LA RÉUNION   (France)

Author keywords

Artificial neural networks; Numerical weather prediction; Satellite images; Solar forecasting

Indexed keywords

ELECTRIC POWER GENERATION; ELECTRIC POWER SYSTEMS; ELECTRIC POWER TRANSMISSION NETWORKS; FORECASTING; NEURAL NETWORKS; SATELLITES; SOLAR ENERGY; SOLAR POWER GENERATION; SOLAR RADIATION;

AUTOREGRESSIVE MOVING AVERAGE; EUROPEAN CENTRE FOR MEDIUM-RANGE WEATHER FORECASTS; ISOLATED POWER SYSTEM; NUMERICAL WEATHER PREDICTION; NUMERICAL WEATHER PREDICTION MODELS; SATELLITE IMAGES; SOLAR FORECASTING; SOLAR IRRADIANCE MEASUREMENT;

WEATHER FORECASTING;

ARTIFICIAL NEURAL NETWORK; CLOUD COVER; ELECTRICITY GENERATION; IRRADIANCE; NUMERICAL MODEL; RENEWABLE RESOURCE; SATELLITE IMAGERY; SOLAR POWER; SOLAR RADIATION; STATISTICAL ANALYSIS; WEATHER FORECASTING;

CANARY ISLANDS; GRAN CANARIA; LAS PALMAS; SPAIN;

EID: 84974717477     PISSN: 09601481     EISSN: 18790682     Source Type: Journal    
DOI: 10.1016/j.renene.2016.06.018     Document Type: Article

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