Considerations for Short-Term Load Forecasting of Morocco

Research output: NRELPresentation

Abstract

There are many factors that determine how demand for electricity may change over time. The analysis described in this report is focused on using auto-regressive models and neural networks to examine load-forecasting techniques for the next 24 hours.
Original languageAmerican English
Number of pages14
StatePublished - 2020

Publication series

NamePresented at the Webinar with Moroccan ONEE, 3 June 2020

NREL Publication Number

  • NREL/PR-7A40-77323

Keywords

  • energy consumption
  • load forecasting
  • Morocco
  • short-term load forecasting

Fingerprint

Dive into the research topics of 'Considerations for Short-Term Load Forecasting of Morocco'. Together they form a unique fingerprint.

Cite this