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Optimal smoothing for trend removal in short term electricity demand forecasting

Infield, David and , Hill, D.C. (1998) Optimal smoothing for trend removal in short term electricity demand forecasting. IEEE Transactions on Power Systems, 13 (3). pp. 1115-1120. ISSN 0885-8950

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Abstract

Changes to the electricity supply industry, in particular the progress towards deregulation, have prompted an increased interest in short-term electricity demand forecasting. Trend removal has been identified as a key element in forecasting, and perhaps the area that can most benefit from the application of advanced time series analysis. A new approach to trend removal is presented based on fixed interval, or optimal, smoothing techiques. Forecasts derived in this way are compared with more conventional approaches. Preliminary results indicate the new method to be promising and deserving of further development.

Item type: Article
ID code: 40338
Keywords: forecasting, electricity demand, optimisation, electricity supply industry , fixed interval smoothing techiques , Electrical engineering. Electronics Nuclear engineering, Energy Engineering and Power Technology, Electrical and Electronic Engineering
Subjects: Technology > Electrical engineering. Electronics Nuclear engineering
Department: Faculty of Engineering > Electronic and Electrical Engineering
Related URLs:
    Depositing user: Pure Administrator
    Date Deposited: 03 Jul 2012 16:28
    Last modified: 05 Sep 2014 16:38
    URI: http://strathprints.strath.ac.uk/id/eprint/40338

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