A novel multi-time-scale modeling for electric power demand forecasting: From short-term to medium-term horizon Article

Boroojeni, Kianoosh G, Amini, M Hadi, Bahrami, Shahab et al. (2017). A novel multi-time-scale modeling for electric power demand forecasting: From short-term to medium-term horizon . ELECTRIC POWER SYSTEMS RESEARCH, 142 58-73. 10.1016/j.epsr.2016.08.031

International Collaboration

cited authors

  • Boroojeni, Kianoosh G; Amini, M Hadi; Bahrami, Shahab; Iyengar, SS; Sarwat, Arif I; Karabasoglu, Orkun

sustainable development goals

publication date

  • January 1, 2017

published in

keywords

  • Akaike information criterion
  • Autoregressive model
  • Bayesian information criterion
  • Electric power demand forecast
  • Engineering
  • Engineering, Electrical & Electronic
  • LOAD
  • Moving-average model
  • NEURAL-NETWORKS
  • PLUG-IN HYBRID
  • PREDICTION
  • RESPONSE PROGRAM
  • Science & Technology
  • TEMPERATURE
  • Technology
  • Time-series forecasting

Digital Object Identifier (DOI)

publisher

  • ELSEVIER SCIENCE SA

start page

  • 58

end page

  • 73

volume

  • 142