Exploiting sparsity of interconnections in spatio-temporal wind speed forecasting using Wavelet Transform

Applied Energy

Volumn 165, Issue , 2016, Pages 735-747

  Tascikaraoglu, Akin ^a,b   Sanandaji, Borhan M ^a   Poolla, Kameshwar ^a   Varaiya, Pravin ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b YILDIZ TECHNICAL UNIVERSITY   (Turkey)

Author keywords

Compressive sensing; Spatial correlation; Wavelet Transform; Wind forecasting

Indexed keywords

COMPRESSED SENSING; ENERGY RESOURCES; FORECASTING; METEOROLOGY; RENEWABLE ENERGY RESOURCES; SIGNAL RECONSTRUCTION; TIME SERIES; WAVELET DECOMPOSITION; WAVELET TRANSFORMS; WIND;

COMPRESSIVE SENSING; INTEGRATION OF RENEWABLE ENERGIES; LOW DIMENSIONAL STRUCTURE; RENEWABLE ENERGY INTEGRATIONS; SPATIAL CORRELATIONS; SPATIO-TEMPORAL FORECASTING; WIND FORECASTING; WIND SPEED FORECASTING;

WEATHER FORECASTING;

ACCURACY ASSESSMENT; ALGORITHM; ALTERNATIVE ENERGY; FORECASTING METHOD; FUTURE PROSPECT; RENEWABLE RESOURCE; SPATIOTEMPORAL ANALYSIS; TIME SERIES; WAVELET ANALYSIS; WEATHER FORECASTING; WIND FIELD; WIND VELOCITY;

EID: 84953432366     PISSN: 03062619     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.apenergy.2015.12.082     Document Type: Article

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