Weathering power's demand

Temperature is the single most important predictor of electricity demand variability - and the variability of much else, for that matter. It is estimated that 25% of global GDP is directly influenced by weather and climate variability.1 In absolute terms, calendar factors, such as the day of the week or public holidays, may be responsible for a greater cyclicality in demand. However, these are easily incorporated in to existing models, and there is no forecasting science involved, as such. The

Only users who have a paid subscription or are part of a corporate subscription are able to print or copy content.

To access these options, along with all other subscription benefits, please contact or view our subscription options here:

You are currently unable to copy this content. Please contact to find out more.

Sorry, our subscription options are not loading right now

Please try again later. Get in touch with our customer services team if this issue persists.

New to View our subscription options

If you already have an account, please sign in here.

You need to sign in to use this feature. If you don’t have a account, please register for a trial.

Sign in
You are currently on corporate access.

To use this feature you will need an individual account. If you have one already please sign in.

Sign in.

Alternatively you can request an individual account here