Short-term wind speed forecasting based on support vector machine with similar data

Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering

Volumn 32, Issue 4, 2012, Pages 35-41

  Yang, Xiyun ^a   Sun, Baojun ^a   Zhang, Xinfang ^b   Li, Lixia ^a  

^a NORTH CHINA ELECTRIC POWER UNIVERSITY   (China)

^b State Nuclear Electric Power Planning Design and Research Institute   (China)

Author keywords

Short term prediction; Similar data; Support vector machine (SVM); Wavelet analysis; Wind speed

Indexed keywords

ELECTRIC UTILITIES; FREQUENCY BANDS; WAVELET ANALYSIS; WAVELET DECOMPOSITION; WEATHER FORECASTING; WIND EFFECTS; WIND POWER;

ENGINEERING APPLICATIONS; FORECASTING MODELS; GENERALIZATION CAPABILITY; HIGH FREQUENCY BANDS; LARGE AMOUNTS OF DATA; LARGE-SCALE WIND POWER; LOW AND HIGH FREQUENCIES; LOW FREQUENCY BAND; POWER PREDICTIONS; PREDICTION ACCURACY; RANDOM SIGNAL; RUNTIMES; SHORT TERM PREDICTION; SHORT-TERM WIND SPEED FORECASTING; SIMILAR DATA; SIMULATION EXPERIMENTS; SVM MODEL; TRAINING SAMPLE; WIND FARM; WIND PREDICTION; WIND SPEED; WIND SPEED DATA;

SUPPORT VECTOR MACHINES;

EID: 84863176176     PISSN: 02588013     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

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