Long-term energy performance forecasting of integrated generation systems by recurrent neural networks

2009 International Conference on Clean Electrical Power, ICCEP 2009

Volumn , Issue , 2009, Pages 673-678

  Bonanno, F ^a   Capizzi, G ^a   Tina, G ^a  

^a UNIVERSITY OF CATANIA   (Italy)

Author keywords

Energy performance forecasting; Integrated generation systems; Long term operation; Recurrent neural networks

Indexed keywords

DYNAMIC RECURRENT NEURAL NETWORKS; ELECTRIC GENERATION SYSTEMS; ENERGY PERFORMANCE; ENERGY PERFORMANCE FORECASTING; EXTENSIVE SIMULATIONS; GENERATING UNIT; GENERATION SYSTEMS; INTEGRATED GENERATION SYSTEMS; LOAD DEMAND; LONG-TERM OPERATION; OPERATING EXPERIENCE; OPTIMAL OPERATION; RENEWABLE ENERGY SOURCE; RENEWABLE ENERGY SYSTEMS; SITE-SPECIFIC; STAND -ALONE; WIND ENERGY;

ELECTRIC GENERATORS; ELECTRIC LOAD FORECASTING; ELECTRIC POWER SUPPLIES TO APPARATUS; REINFORCEMENT LEARNING; SIMULATORS; SOFT COMPUTING; WIND POWER;

RECURRENT NEURAL NETWORKS;

EID: 70449377859     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCEP.2009.5211956     Document Type: Conference Paper

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