A new ANN-based methodology for very short-term wind speed prediction using Markov chain approach

2008 IEEE Electrical Power and Energy Conference - Energy Innovation

Volumn , Issue , 2008, Pages

  Pourmousavi Kani, S A ^a   Riahy, G H ^a  

^a AMIRKABIR UNIVERSITY OF TECHNOLOGY   (Iran)

Author keywords

Artificial Neural Networks; Correlation factor; Markov chain; Mean absolute percentage error; Very short term prediction; Wind speed

Indexed keywords

BACKPROPAGATION; ELECTRIC FAULT LOCATION; ELECTRIC LOAD FORECASTING; ELECTRIC POWER SUPPLIES TO APPARATUS; ELECTRIC UTILITIES; MARKOV PROCESSES; SPEED; WIND EFFECTS; WIND POWER;

ARTIFICIAL NEURAL NETWORKS; CORRELATION FACTOR; MARKOV CHAIN; MEAN ABSOLUTE PERCENTAGE ERROR; VERY SHORT-TERM PREDICTION; WIND SPEED;

NEURAL NETWORKS;

EID: 63049116335     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/EPC.2008.4763386     Document Type: Conference Paper

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