Medium-term electricity load forecasting and climate change in arid cities

Bhagyam Chandrasekharan, Bonnie Colby

Research output: Contribution to journalArticle

1 Scopus citations

Abstract

Electric utilities need to consider how potential changes in climate patterns will affect their peak loads. This study incorporates weather and socio-economic variables into a medium-term load forecasting model to consider potential climate change effects on the challenging summer peak season for utilities in the arid southwestern US. Our 'average hourly load by month' model shows marked improvement over a purely autoregressive approach to load forecasting used by some electric utilities. In light of climate change, electric utilities and society can benefit from minimizing inaccuracies in load predictions. Decision-making based on more climate-sensitive forecasts will reduce the water and carbon footprint of electric utilities and improve their investment strategies for renewable energy technologies.

Original languageEnglish (US)
Pages (from-to)163-181
Number of pages19
JournalJournal of Natural Resources Policy Research
Volume5
Issue number2-3
DOIs
StatePublished - Apr 1 2013

Keywords

  • climate change
  • electricity load
  • forecast

ASJC Scopus subject areas

  • Geography, Planning and Development
  • Management, Monitoring, Policy and Law

Fingerprint Dive into the research topics of 'Medium-term electricity load forecasting and climate change in arid cities'. Together they form a unique fingerprint.

  • Cite this