Multistage Wind-Electric Power Forecast by Using a Combination of Advanced Statistical Methods

IEEE Transactions on Industrial Informatics

Volumn 11, Issue 5, 2015, Pages 1231-1242

  Buhan, Serkan ^a   Cadirci, Isik ^b  

^a MATERIALS INSTITUTE   (Turkey)

^b HACETTEPE UNIVERSITY   (Turkey)

Author keywords

Artificial neural network; statistical methods; support vector machines; wind electric power forecast

Indexed keywords

BENCHMARKING; COMPLEX NETWORKS; ELECTRIC POWER GENERATION; ELECTRIC POWER PLANTS; FORECASTING; NEURAL NETWORKS; STATISTICAL METHODS; STATISTICS; SUPPORT VECTOR MACHINES; WEATHER FORECASTING; WIND; WIND EFFECTS; WIND POWER;

ELECTRIC POWER; MODEL OUTPUT STATISTICS; NUMERICAL WEATHER PREDICTION MODELS; SHORT-TERM FORECASTS; STATISTICAL MODELING; TRAINING AND TESTING; WEIGHTING FACTORS; WIND POWER PLANT (WPPS);

ELECTRIC POWER TRANSMISSION NETWORKS;

EID: 84944035381     PISSN: 15513203     EISSN: None     Source Type: Journal    
DOI: 10.1109/TII.2015.2431642     Document Type: Article

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