Incorporating weather uncertainty in demand forecasts for electricity market planning

Ziser, C. J., Dong, Z. Y. and Wong, K. P. (2012) Incorporating weather uncertainty in demand forecasts for electricity market planning. International Journal of Systems Science, 43 7: 1336-1346. doi:10.1080/00207721.2011.598962


Author Ziser, C. J.
Dong, Z. Y.
Wong, K. P.
Title Incorporating weather uncertainty in demand forecasts for electricity market planning
Journal name International Journal of Systems Science   Check publisher's open access policy
ISSN 0020-7721
1464-5319
Publication date 2012-01-01
Year available 2011
Sub-type Article (original research)
DOI 10.1080/00207721.2011.598962
Open Access Status
Volume 43
Issue 7
Start page 1336
End page 1346
Total pages 11
Place of publication Colchester, Essex, United Kingdom
Publisher Taylor & Francis
Language eng
Abstract A major component of electricity network planning is to ensure supply capability into the future, through generation and transmission development. Accurate forecasts of maximum demand are a crucial component of this process, with future weather conditions having a large impact on forecast accuracy. This article presents an improved methodology for the consideration of weather uncertainty in electricity demand forecasts. Case studies based on the Australian national electricity market are used to validate the proposed methodology.
Keyword Load forecasting
Electricity markets
Power generation planning
Power transmission planning
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ
Additional Notes Version of record first published: 14 July 2011.

Document type: Journal Article
Sub-type: Article (original research)
Collections: Official 2013 Collection
School of Information Technology and Electrical Engineering Publications
 
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Citation counts: TR Web of Science Citation Count  Cited 3 times in Thomson Reuters Web of Science Article | Citations
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Created: Mon, 02 Jul 2012, 18:28:01 EST by System User on behalf of School of Information Technol and Elec Engineering