Complex-valued prediction of wind profile using augmented complex statistics

Renewable Energy

Volumn 34, Issue 1, 2009, Pages 196-201

  Mandic, D P ^a   Javidi, S ^a   Goh, S L ^b   Kuh, A ^c   Aihara, K ^d  

^a IMPERIAL COLLEGE LONDON   (United Kingdom)

^b Shell Exploration and Production   (Netherlands)

^c University of Hawaii at Manoa   (United States)

^d UNIVERSITY OF TOKYO   (Japan)

Author keywords

Augmented statistics; Complex representation; Wind forecasting

Indexed keywords

WIND;

AUGMENTED COMPLEX LEAST MEAN SQUARES; COMPLEX NUMBER; COMPLEX REPRESENTATION; COMPLEX-VALUED; MODELLING AND FORECASTING; WIND FORECASTING; WIND PROFILES; WIND SPEED AND DIRECTIONS;

WEATHER FORECASTING;

PREDICTION; STATISTICAL ANALYSIS; WIND PROFILE; WIND VELOCITY;

EID: 51649108022     PISSN: 09601481     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.renene.2008.03.022     Document Type: Article

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