Finding representative wind power scenarios and their probabilities for stochastic models

2011 16th International Conference on Intelligent System Applications to Power Systems, ISAP 2011

Volumn , Issue , 2011, Pages

  Sumaili, Jean ^a   Keko, Hrvoje ^a   Miranda, Vladimiro ^a   Zhou, Zhi ^b   Botterud, Audun ^b   Wang, Jianhui ^b  

^a UNIVERSITY OF PORTO   (Portugal)

^b ARGONNE NATIONAL LABORATORY   (United States)

Author keywords

clustering; mean shift; modes finding; outliers; probability; scenario reduction; uncertainty; wind power scenarios

Indexed keywords

CLUSTERING; MEAN SHIFT; MODES FINDING; OUTLIERS; UNCERTAINTY;

INFORMATION THEORY; INTELLIGENT SYSTEMS; POWER TRANSMISSION; PROBABILITY; STOCHASTIC MODELS; STOCHASTIC SYSTEMS; WIND POWER;

PROBABILITY DENSITY FUNCTION;

EID: 83655183124     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ISAP.2011.6082195     Document Type: Conference Paper

References (8)

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