articleJournal of Cleaner ProductionSep 17, 2019Closed access

Short-term wind power forecasting based on support vector machine with improved dragonfly algorithm

LLLin LiXZXue ZhaoMTMing‐Lang TsengRRRaymond R. Tan

Hebei University of Technology · China Medical University · +3 more institutions

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Abstract

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457
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24.34
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100%
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4

Topics & keywords

Topics
Keywords
  • Wind power
  • Support vector machine
  • Wind power forecasting
  • Artificial neural network
  • Electric power system
  • Term (time)
  • Power (physics)
  • Renewable energy
UN Sustainable Development Goals
  • Affordable and clean energy
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