Probability density function characterization for aggregated large-scalewind power based on Weibull mixtures

Energies

Volumn 9, Issue 2, 2016, Pages

  Gómez Lázaro, Emilio ^a   Bueso, María C ^b   Kessler, Mathieu ^b   Martín Martínez, Sergio ^a   Zhang, Jie ^c   Hodge, Bri Mathias ^d   Molina García, Angel ^b  

^a UNIVERSITY OF CASTILLA LA MANCHA   (Spain)

^b TECHNICAL UNIVERSITY OF CARTAGENA   (Spain)

^c The University of Texas at Dallas   (United States)

^d NATIONAL RENEWABLE ENERGY LABORATORY   (United States)

Author keywords

Akaike information criterion (AIC); Bayesian information criterion (BIC); Weibull distributions; Weibull mixtures; Wind power generation

Indexed keywords

BARIUM COMPOUNDS; ELECTRIC POWER GENERATION; ELECTRIC POWER TRANSMISSION; MAXIMUM LIKELIHOOD; MIXTURES; PROBABILITY DENSITY FUNCTION; WEIBULL DISTRIBUTION; WIND EFFECTS; WIND SPEED; WIND TURBINES;

AKAIKE INFORMATION CRITERIA; AKAIKE'S INFORMATION CRITERIONS; BAYESIAN INFORMATION CRITERIA; BAYESIAN INFORMATION CRITERION; POWER; POWER DATA; WEIBULL; WEIBULL MIXTURE; WIND POWER GENERATION; WIND SPEED;

WIND POWER;

EID: 84958559312     PISSN: None     EISSN: 19961073     Source Type: Journal    
DOI: 10.3390/en9020091     Document Type: Article

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