Prediction of daily global solar irradiance on horizontal surfaces based on neural-network techniques

Renewable Energy

Volumn 33, Issue 8, 2008, Pages 1796-1803

  Zervas, P L ^a   Sarimveis, H ^a   Palyvos, J A ^a   Markatos, N C G ^a  

^a NATIONAL TECHNICAL UNIVERSITY OF ATHENS   (Greece)

Author keywords

Global solar irradiance; Neural networks; Prediction model

Indexed keywords

CORRELATION METHODS; DATABASE SYSTEMS; MATHEMATICAL MODELS; NEURAL NETWORKS;

GLOBAL SOLAR IRRADIANCE; PREDICTION MODEL;

SOLAR ENERGY;

CORRELATION METHODS; DATABASE SYSTEMS; MATHEMATICAL MODELS; NEURAL NETWORKS; SOLAR ENERGY;

ARTIFICIAL NEURAL NETWORK; CLIMATE PREDICTION; DATABASE; GAUSSIAN METHOD; IRRADIANCE; METEOROLOGY; MODEL VALIDATION; NUMERICAL MODEL; SOLAR RADIATION; WEATHER;

EID: 41849104721     PISSN: 09601481     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.renene.2007.09.020     Document Type: Article

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