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Machine learning based multi-physical-model blending for enhancing renewable energy forecast - improvement via situation dependent error correction.

Siyuan LuYoungdeok HwangIldar KhabibrakhmanovFernando J. MariannoXiaoyan ShaoJie ZhangBri-Mathias S. HodgeHendrik F. Hamann
Published in: ECC (2015)
Keyphrases
  • machine learning
  • error correction
  • artificial intelligence
  • high frequency
  • renewable energy
  • long term
  • image compression
  • short term
  • neural network model
  • power supply
  • wind power