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Short-term wind power forecasts by a synthetical similar time series data mining method

  • Published:2018-01 Issue: Volume:115 Page:575-584
  • ISSN:0960-1481
  • Container-title:Renewable Energy
  • language:en
  • Short-container-title:Renewable Energy

Author:

Sun Gaiping,Jiang Chuanwen,Cheng Pan,Liu Yangyang,Wang Xu,Fu Yang,He Yang

Funder

National Natural Science Foundation of China

Shanghai Engineering Research Center of Green Energy Grid-Connected Technology

State Grid Science & Technology Project

Publisher

Elsevier BV

Subject

Renewable Energy, Sustainability and the Environment

Reference31 articles.

1. The wind energy evolution: a short review of a long history;Kaldellis;Renew. Energy,2011

2. Power quality issues in a hybrid power system;Muliadi;IEEE Trans. Ind. Appl.,2002

3. Study on impact of wind power integration on power system;Chi;Power Syst. Technol.,2007

4. A review on the young history of the wind power short-term prediction;Costa;Renew. Sustain. Energy Rev.,2008

5. Impact of wind generation on the operation and development of the UK electricity systems;Strbac;Electr. Power Syst. Res.,2007
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