Wind Speed Forecasting Based on Relevance Vector Machine and Empirical Mode Decomposition

Xinrong Liu; Ziqiang Hu; Guangya Yang

doi:10.4156/aiss.vol5.issue10.32

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JOURNAL ARTICLE

Wind Speed Forecasting Based on Relevance Vector Machine and Empirical Mode Decomposition

Xinrong Liu Ziqiang Hu Guangya Yang

Year: 2013 Journal: INTERNATIONAL JOURNAL ON Advances in Information Sciences and Service Sciences Vol: 5 (10)Pages: 279-287

DOI: 10.4156/aiss.vol5.issue10.32

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Keywords:

Hilbert–Huang transform Relevance (law) Mode (computer interface) Relevance vector machine Wind speed Support vector machine Decomposition Computer science Meteorology Artificial intelligence Environmental science Machine learning Physics Telecommunications Political science Ecology Biology

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Physical Sciences → Environmental Science → Ecological Modeling

Energy Load and Power Forecasting

Physical Sciences → Engineering → Electrical and Electronic Engineering

Wind Speed Forecasting Based on Relevance Vector Machine and Empirical Mode Decomposition

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