A review on hybrid empirical mode decomposition models for wind speed and wind power prediction

Energies

Volumn 12, Issue 2, 2019, Pages

  Bokde, Neeraj ^a   Feijóo, Andrés ^b   Villanueva, Daniel ^b   Kulat, Kishore ^a  

^a VISVESVARAYA NATIONAL INSTITUTE OF TECHNOLOGY   (India)

^b UNIVERSITY OF VIGO   (Spain)

Author keywords

Decomposition; EMD; Prediction; Wind power; Wind speed

Indexed keywords

DECOMPOSITION; FORECASTING; PROCESSING; SIGNAL PROCESSING; STOCHASTIC MODELS; STOCHASTIC SYSTEMS; WEATHER FORECASTING; WIND; WIND POWER;

ARTIFICIAL INTELLIGENT; EMPIRICAL MODE DECOMPOSITION; ENSEMBLE EMPIRICAL MODE DECOMPOSITIONS (EEMD); INTRINSIC MODE FUNCTIONS; LEVEL OF DIFFICULTIES; POSTPROCESSING METHODS; WIND POWER PREDICTIONS; WIND SPEED;

ELECTRIC POWER TRANSMISSION NETWORKS;

EID: 85060523173     PISSN: None     EISSN: 19961073     Source Type: Journal    
DOI: 10.3390/en12020254     Document Type: Review

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