A spatio-temporal analysis approach for short-term forecast of wind farm generation

IEEE Transactions on Power Systems

Volumn 29, Issue 4, 2014, Pages 1611-1622

  He, Miao ^a   Yang, Lei ^b   Zhang, Junshan ^b   Vittal, Vijay ^b  

^a Department of Electrical and Computer Engineering   (United States)

^b Arizona State University   (United States)

Author keywords

Distributional forecast; graphical learning; Markov chains; point forecast; short term wind power forecast; spatio temporal analysis; wind farm

Indexed keywords

ELECTRIC UTILITIES; FORECASTING; STOCHASTIC SYSTEMS; WIND POWER; WIND TURBINES;

AUTO REGRESSIVE MODELS; ECONOMIC DISPATCH PROBLEMS; GRAPHICAL LEARNING; SHORT-TERM WIND POWER FORECAST; SPATIOTEMPORAL ANALYSIS; STATISTICAL DISTRIBUTION; STOCHASTIC UNIT COMMITMENTS; WIND FARM;

MARKOV PROCESSES;

EID: 84903191929     PISSN: 08858950     EISSN: None     Source Type: Journal    
DOI: 10.1109/TPWRS.2014.2299767     Document Type: Article

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