Time-adaptive quantile-copula for wind power probabilistic forecasting

Renewable Energy

Volumn 40, Issue 1, 2012, Pages 29-39

  Bessa, Ricardo J ^a   Miranda, V ^a   Botterud, A ^b   Zhou, Z ^b   Wang, J ^b  

^a UNIVERSITY OF PORTO   (Portugal)

^b ARGONNE NATIONAL LABORATORY   (United States)

Author keywords

Copula; Density estimation; Forecasting; Probabilistic; Time adaptive; Wind power

Indexed keywords

CASE-STUDIES; COPULA; DATA SETS; DENSITY ESTIMATION; KERNEL DENSITY; POWER PRODUCER; PROBABILISTIC; PROBABILISTIC FORECASTING; PROBABILISTIC PREDICTION; QUANTILE REGRESSION; SYSTEM OPERATOR; TIME-ADAPTIVE; WIND FARM; WIND INTEGRATION;

ELECTRIC UTILITIES; FORECASTING; MATHEMATICAL MODELS; WIND POWER;

WEATHER FORECASTING;

CALIBRATION; ESTIMATION METHOD; FORECASTING METHOD; NUMERICAL MODEL; REGRESSION ANALYSIS; WIND POWER;

UNITED STATES;

EID: 80755122841     PISSN: 09601481     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.renene.2011.08.015     Document Type: Article

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