Journal article
A probabilistic framework for forecasting household energy demand profiles
- Abstract:
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Recent work introduced a novel time-permuting error measure for forecasts of half-hourly, household-level energy demand, designed to reward forecasts which predict extremes (spikes) in demand at approximately the right times, albeit perhaps slightly early or late. In many applications such as smart storage control, such forecasts are preferable to those that predict no spikes at all. Building on that idea, we make three contributions. First we introduce a probabilistic framework to estimate e...
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- Publication status:
- Submitted
- Peer review status:
- Not peer reviewed
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(Author's original, pdf, 326.8KB)
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Authors
Funding
Thames Valley Vision
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Bibliographic Details
- Publication date:
- 2014-03-01
Item Description
- Language:
- English
- Keywords:
- Subjects:
- UUID:
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uuid:68b6552b-4b96-4384-a7c6-9c8cd55b6c8d
- Local pid:
- ora:8211
- Deposit date:
- 2014-03-18
Terms of use
- Copyright holder:
- N Charlton et al
- Copyright date:
- 2014
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