Multi-step wind speed forecasting based on a hybrid forecasting architecture and an improved bat algorithm

Energy Conversion and Management

Volumn 143, Issue , 2017, Pages 410-430

  Xiao, Liye ^a   Qian, Feng ^b   Shao, Wei ^a  

^a UNIVERSITY OF ELECTRONIC SCIENCE AND TECHNOLOGY OF CHINA   (China)

^b PEKING UNIVERSITY   (China)

Author keywords

Hybrid forecasting architecture; Improved bat algorithm; Singular spectrum analysis, wind speed forecasting

Indexed keywords

CONJUGATE GRADIENT METHOD; NETWORK ARCHITECTURE; NETWORK LAYERS; NEURAL NETWORKS; SPECTRUM ANALYSIS; SPEED; WIND EFFECTS; WIND POWER;

FORECASTING PERFORMANCE; GENERAL REGRESSION NEURAL NETWORK; HYBRID FORECASTING; IMPROVED BAT ALGORITHMS; MODIFIED NEURAL NETWORKS; SINGULAR SPECTRUM ANALYSIS; SUSTAINABLE ENERGY SOURCES; WIND SPEED FORECASTING;

WEATHER FORECASTING;

EID: 85017476969     PISSN: 01968904     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.enconman.2017.04.012     Document Type: Article

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