The study and application of a novel hybrid forecasting model - A case study of wind speed forecasting in China

Applied Energy

Volumn 143, Issue , 2015, Pages 472-488

  Wang, Jian Zhou ^a   Wang, Yun ^b   Jiang, Ping ^a  

^a DONGBEI UNIVERSITY OF FINANCE AND ECONOMICS   (China)

^b LANZHOU UNIVERSITY   (China)

Author keywords

Grey relational analysis; Hypothesis test; Least Square Support Vector Machine (LSSVM); PSOSA algorithm; Wavelet packet transform

Indexed keywords

ELECTRIC POWER TRANSMISSION NETWORKS; ELECTRIC UTILITIES; ENERGY POLICY; ENERGY RESOURCES; FORECASTING; PACKET NETWORKS; PARTICLE SWARM OPTIMIZATION (PSO); PHASE SPACE METHODS; RANDOM PROCESSES; RENEWABLE ENERGY RESOURCES; SIMULATED ANNEALING; SPEED; STATISTICAL TESTS; SUPPORT VECTOR MACHINES; WAVELET TRANSFORMS; WIND EFFECTS; WIND POWER;

DEVELOPMENT AND UTILIZATIONS; FORECASTING PERFORMANCE; GREY RELATIONAL ANALYSIS; HYPOTHESIS TESTS; LEAST SQUARE SUPPORT VECTOR MACHINES; PHASE SPACE RECONSTRUCTIONS (PSR); WAVELET PACKET TRANSFORM(WPT); WAVELET PACKET TRANSFORMS;

WIND;

ALGORITHM; HYPOTHESIS TESTING; LEAST SQUARES METHOD; NUMERICAL MODEL; RENEWABLE RESOURCE; SIMULATED ANNEALING; WEATHER FORECASTING; WIND VELOCITY;

CHINA; GANSU;

EID: 84922362244     PISSN: 03062619     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.apenergy.2015.01.038     Document Type: Article

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