Support-vector-machine-enhanced markov model for short-term wind power forecast

IEEE Transactions on Sustainable Energy

Volumn 6, Issue 3, 2015, Pages 791-799

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

^a Arizona State University   (United States)

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

Author keywords

Distributional forecast; Markov chain; point forecast; short term wind power forecast; support vector machine (SVM); wind farm

Indexed keywords

ELECTRIC POWER GENERATION; ELECTRIC UTILITIES; FORECASTING; MARKOV PROCESSES; SUPPORT VECTOR MACHINES; WIND POWER; WIND TURBINES;

FINITE STATE MARKOV MODELS; MEASUREMENT DATA; NON-STATIONARITIES; PENETRATION LEVEL; RELIABLE SYSTEMS; SHORT-TERM WIND POWER FORECAST; WIND FARM; WIND TURBINE POWER;

WEATHER FORECASTING;

EID: 85027956105     PISSN: 19493029     EISSN: None     Source Type: Journal    
DOI: 10.1109/TSTE.2015.2406814     Document Type: Article

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