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

Bhagyam Chandrasekharan, Bonnie G Colby

Research output: Contribution to journalArticle

1 Citation (Scopus)

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 2013

Fingerprint

electricity
climate change
water footprint
carbon footprint
climate
decision making
weather
summer
prediction
energy technology
renewable energy
city
water
economics
society
socioeconomics
forecast
effect

Keywords

  • climate change
  • electricity load
  • forecast

ASJC Scopus subject areas

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

Cite this

Medium-term electricity load forecasting and climate change in arid cities. / Chandrasekharan, Bhagyam; Colby, Bonnie G.

In: Journal of Natural Resources Policy Research, Vol. 5, No. 2-3, 04.2013, p. 163-181.

Research output: Contribution to journalArticle

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