Post-processing techniques and principal component analysis for regional wind power and solar irradiance forecasting

Solar Energy

Volumn 134, Issue , 2016, Pages 327-338

  Davò, Federica ^a,b   Alessandrini, Stefano ^c   Sperati, Simone ^b   Delle Monache, Luca ^c   Airoldi, Davide ^b   Vespucci, Maria T ^a  

^a UNIVERSITY OF BERGAMO   (Italy)

^b RICERCA SUL SISTEMA ENERGETICO RSE S P A   (Italy)

^c NATIONAL CENTER FOR ATMOSPHERIC RESEARCH   (United States)

Author keywords

Analog ensemble; Forecasting; Neural network; Principal component analysis; Solar irradiance; Wind power

Indexed keywords

AGGREGATES; FORECASTING; NEURAL NETWORKS; RESEARCH LABORATORIES; SOLAR RADIATION; WEATHER FORECASTING; WIND POWER;

ANALOG ENSEMBLE; ATMOSPHERIC ADMINISTRATION; ENSEMBLE FORECAST SYSTEMS; EUROPEAN CENTRE FOR MEDIUM-RANGE WEATHER FORECASTS; NUMERICAL WEATHER PREDICTION; POST-PROCESSING TECHNIQUES; REGIONAL ATMOSPHERIC MODELING SYSTEMS; SOLAR IRRADIANCES;

PRINCIPAL COMPONENT ANALYSIS;

ARTIFICIAL NEURAL NETWORK; BOUNDARY CONDITION; DIURNAL VARIATION; ENVIRONMENTAL MONITORING; FORECASTING METHOD; IRRADIANCE; NUMERICAL METHOD; PREDICTION; PRINCIPAL COMPONENT ANALYSIS; SOLAR POWER; SOLAR RADIATION; WIND POWER;

ITALY; SICILY;

EID: 84968739482     PISSN: 0038092X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.solener.2016.04.049     Document Type: Article

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