A case study on a hybrid wind speed forecasting method using BP neural network

Knowledge-Based Systems

Volumn 24, Issue 7, 2011, Pages 1048-1056

  Guo, Zhen Hai ^a   Wu, Jie ^b   Lu, Hai Yan ^c   Wang, Jian Zhou ^b  

^a INSTITUTE OF ATMOSPHERIC PHYSICS   (China)

^b LANZHOU UNIVERSITY   (China)

^c UNIVERSITY OF TECHNOLOGY SYDNEY   (Australia)

Author keywords

Back propagation neural network; Kolmogorov Smirnov test; Seasonal exponential adjustment; Wind speed forecasting; Year ahead daily average wind speed forecasting

Indexed keywords

BACK PROPAGATION NEURAL NETWORKS; KOLMOGOROV-SMIRNOV TEST; SEASONAL EXPONENTIAL ADJUSTMENT; WIND SPEED FORECASTING; YEAR-AHEAD DAILY AVERAGE WIND SPEED FORECASTING;

ALGORITHMS; BACKPROPAGATION; ECONOMICS; ELECTRIC POWER DISTRIBUTION; ELECTRIC UTILITIES; FARMS; FORECASTING; GAS EMISSIONS; GLOBAL WARMING; GREENHOUSE GASES; RESEARCH; SPEED; WIND EFFECTS; WIND POWER;

NEURAL NETWORKS;

EID: 79959733948     PISSN: 09507051     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.knosys.2011.04.019     Document Type: Article

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