Short-term solar power prediction using an RBF neural network

IEEE Power and Energy Society General Meeting

Volumn , Issue , 2011, Pages

  Zeng, Jianwu ^a   Qiao, Wei ^a  

^a UNIVERSITY OF NEBRASKA LINCOLN   (United States)

Author keywords

Autoregressive (AR); local linear regression (LLR); neural network; radial basis function (RBF); solar power prediction (SPP); solar radiation

Indexed keywords

AR MODELS; AUTO REGRESSIVE MODELS; AUTO-REGRESSIVE; LINEAR REGRESSION MODELS; LOCAL LINEAR REGRESSION; LOCAL LINEAR REGRESSION (LLR); METEOROLOGICAL VARIABLES; NETWORK-BASED; RADIAL BASIS FUNCTIONS; RBF NEURAL NETWORK; SIMULATION STUDIES; SOLAR POWER PREDICTION (SPP); TRANSMISSIVITY; WIND SPEED;

COMPUTER SIMULATION; ELECTRIC UTILITIES; FORECASTING; LINEAR REGRESSION; LUNAR SURFACE ANALYSIS; RADIAL BASIS FUNCTION NETWORKS; SOLAR ENERGY; SOLAR RADIATION; SUN;

NEURAL NETWORKS;

EID: 82855169179     PISSN: 19449925     EISSN: 19449933     Source Type: Conference Proceeding    
DOI: 10.1109/PES.2011.6039204     Document Type: Conference Paper

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