The potential of novel data mining models for global solar radiation prediction Article

Sharafati, Ahmad, Khosravi, Khabat, Khosravinia, Payam et al. (2019). The potential of novel data mining models for global solar radiation prediction . INTERNATIONAL JOURNAL OF ENVIRONMENTAL SCIENCE AND TECHNOLOGY, 16(11), 7147-7164. 10.1007/s13762-019-02344-0

International Collaboration

cited authors

  • Sharafati, Ahmad; Khosravi, Khabat; Khosravinia, Payam; Ahmed, Kamal; Salman, Saleem Abdulridha; Yaseen, Zaher Mundher; Shahid, Shamsuddin

sustainable development goals

authors

publication date

  • November 1, 2019

published in

keywords

  • ARTIFICIAL NEURAL-NETWORK
  • Burkina Faso region
  • Climate variables
  • DECISION TREES
  • Data mining models
  • EMPIRICAL-MODELS
  • Environmental Sciences
  • Environmental Sciences & Ecology
  • HYBRID MODEL
  • INPUT PARAMETERS
  • Life Sciences & Biomedicine
  • MACHINE LEARNING-METHODS
  • PERFORMANCE
  • POWER PREDICTION
  • SELECTION
  • SYSTEM
  • Science & Technology
  • Solar radiation prediction

Digital Object Identifier (DOI)

publisher

  • SPRINGER

start page

  • 7147

end page

  • 7164

volume

  • 16

issue

  • 11