An effective method for modeling wind power forecast uncertainty

Energy Systems

Volumn 4, Issue 4, 2013, Pages 393-417

  Mauch, Brandon ^a,b   Apt, Jay ^a,c   Carvalho, Pedro M S ^b   Small, Mitchell J ^a  

^a CARNEGIE MELLON UNIVERSITY   (United States)

^b INSTITUTO SUPERIOR TÉCNICO   (Portugal)

^c CARNEGIE MELLON UNIVERSITY   (United States)

Author keywords

Logit normal distribution; Renewable energy; Uncertainty; Wind power forecasting

Indexed keywords

CLOSED FORM SOLUTIONS; DIFFERENT DISTRIBUTIONS; LOGIT-NORMAL DISTRIBUTION; PARAMETRIC DISTRIBUTIONS; RENEWABLE ENERGIES; UNCERTAINTY; WIND POWER FORECAST UNCERTAINTIES; WIND POWER FORECASTING;

BINS; NORMAL DISTRIBUTION; UNCERTAINTY ANALYSIS; WIND POWER;

WEATHER FORECASTING;

EID: 84885668684     PISSN: 18683967     EISSN: 18683975     Source Type: Journal    
DOI: 10.1007/s12667-013-0083-3     Document Type: Article

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