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Short-term wind speed forecasting based on the Jaya-SVM model

  • Published:2020-10 Issue: Volume:121 Page:106056
  • ISSN:0142-0615
  • Container-title:International Journal of Electrical Power & Energy Systems
  • language:en
  • Short-container-title:International Journal of Electrical Power & Energy Systems

Author:

Liu Mingshuai,Cao Zheming,Zhang Jing,Wang Long,Huang Chao,Luo Xiong

Funder

Fundamental Research Funds for the Central Universities

National Taipei University of Technology Joint Research Program

National Nature Science and Foundation of China

Beijing Natural Science Foundation

Scientific and Technological Innovation Foundation of Shunde Graduate School

National Key R&D Program of China

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology

Reference41 articles.

1. A maximum power point tracking method for PV system with improved gravitational search algorithm;Li;Appl Soft Comput,2018

2. Renewable energy in India: current status and future potentials;Kumar;Renew Sustain Energy Rev,2010

3. International Energy Agency IEA. Key world energy statistics [online]. Available: , Accessed on: Jun. 6, 2007.

4. A review of wind energy technologies;Herbert;Renew Sustain Energy Rev,2007

5. Research on a combined model based on linear and nonlinear features-a case study of wind speed forecasting;Zhang;Renew Energy,2019

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