Multi-dimensional scenario forecast for generation of multiple wind farms

Journal of Modern Power Systems and Clean Energy

Volumn 3, Issue 3, 2015, Pages 361-370

  YANG, Ming ^a   LIN, You ^a   ZHU, Simeng ^b   HAN, Xueshan ^a   WANG, Hongtao ^a  

^a SHANDONG UNIVERSITY   (China)

^b Zaozhuang Power Supply Company   (China)

Author keywords

Dynamic conditional correlation matrix; Gaussian copula; Multi dimensional scenario forecast; Sparse Bayesian learning (SBL); Support vector machine (SVM); Wind power generation forecast

Indexed keywords

ELECTRIC POWER GENERATION; ELECTRIC UTILITIES; ERRORS; PROBABILITY DENSITY FUNCTION; WEATHER FORECASTING; WIND POWER;

COPULA FUNCTIONS; DYNAMIC CONDITIONAL CORRELATIONS; FORECAST ERRORS; GAUSSIAN COPULA; MARGINAL DISTRIBUTION; MULTI DIMENSIONAL; PROBABILITY DENSITY FUNCTION (PDF); SPARSE BAYESIAN LEARNING (SBL);

SUPPORT VECTOR MACHINES;

EID: 84945360722     PISSN: 21965625     EISSN: 21965420     Source Type: Journal    
DOI: 10.1007/s40565-015-0110-6     Document Type: Article

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