articleRenewable EnergyApr 6, 2016Closed access

Wind speed forecasting based on the hybrid ensemble empirical mode decomposition and GA-BP neural network method

Tianjin University · Hulunbuir University · +1 more institution

Indexed incrossref

Abstract

No abstract available for this paper.

Citation impact

671
total citations
FWCI
34.59
Percentile
100%
References
20
Citations per year

Authors

4

Topics & keywords

Keywords
  • Hilbert–Huang transform
  • Artificial neural network
  • Wind speed
  • Wind power
  • Computer science
  • Mode (computer interface)
  • MATLAB
  • Algorithm
UN Sustainable Development Goals
  • Affordable and clean energy
No related works found for this paper.

Funding