Application of recurrent neural network to 3-hours-ahead generating power forecasting for wind power generators

IEEJ Transactions on Power and Energy

Volumn 129, Issue 5, 2009, Pages

  Yona, Atsushi ^a   Senjyu, Tomonobu ^a   Urasaki, Naomitsu ^b   Funabshi, Toshihisa ^b  

^a UNIVERSITY OF THE RYUKYUS   (Japan)

^b Meidensha Corportion   (Japan)

Author keywords

3 Hours ahead forecasting; Neural Network; Wind power generation; Wind speed forecasting

Indexed keywords

3-HOURS-AHEAD FORECASTING; ALTERNATIVE ENERGY SOURCE; FORECASTING ABILITY; POWER OUT PUT; SIMULATION RESULT; WIND GENERATORS; WIND POWER GENERATORS; WIND SPEED; WIND SPEED FORECASTING;

ELECTRIC LOAD FORECASTING; ELECTRIC POWER GENERATION; ELECTRIC UTILITIES; RECURRENT NEURAL NETWORKS; SPEED; WIND EFFECTS;

WIND POWER;

EID: 67650495257     PISSN: 03854213     EISSN: 13488147     Source Type: Journal    
DOI: 10.1541/ieejpes.129.591     Document Type: Article

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