Journal article
An evaluation of methods for very short-term load forecasting using minute-by-minute British data.
- Abstract:
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This paper uses minute-by-minute British electricity demand observations to evaluate methods for prediction between 10 and 30 minutes ahead. Such very short lead times are important for the real-time scheduling of electricity generation. We consider methods designed to capture both the intraday and the intraweek seasonal cycles in the data, including ARIMA modelling, an adaptation of Holt-Winters' exponential smoothing, and a recently proposed exponential smoothing method that focuses on the ...
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- Publication status:
- Published
- Peer review status:
- Peer reviewed
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- Files:
-
-
(Accepted manuscript, pdf, 253.4KB)
-
- Publisher copy:
- 10.1016/j.ijforecast.2008.07.007
Authors
Bibliographic Details
- Publisher:
- Elsevier Publisher's website
- Journal:
- International Journal of Forecasting Journal website
- Volume:
- 24
- Issue:
- 4
- Pages:
- 645 - 658
- Publication date:
- 2008-01-01
- DOI:
- ISSN:
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0169-2070
Item Description
- Language:
- English
- UUID:
-
uuid:3efb634c-9f14-428a-9782-3e5e34686728
- Local pid:
- oai:economics.ouls.ox.ac.uk:14886
- Deposit date:
- 2011-08-16
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Terms of use
- Copyright holder:
- International Institute of Forecasters
- Copyright date:
- 2008
- Notes:
- Copyright 2008 International Institute of Forecasters. Published by Elsevier B.V. All rights reserved. NOTICE: this is the author's version of a work that was accepted for publication in International Journal of Forecasting. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in International Journal of Forecasting, 24, 4, (October-December 2008) DOI#10.1016/j.ijforecast.2008.07.007
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