Optimal smoothing for trend removal in short term electricity demand forecasting

Infield, David, 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 (https://doi.org/10.1109/59.709108)

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.

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• Item metadata

  Item type:	Article
  ID code:	40338
  Dates:	Date Event August 1998 Published
  Subjects:	Technology > Electrical engineering. Electronics Nuclear engineering
  Department:	Faculty of Engineering > Electronic and Electrical Engineering
  Depositing user:	Pure Administrator
  Date deposited:	03 Jul 2012 15:28
  Last modified:	24 Nov 2024 02:58
  URI:	https://strathprints.strath.ac.uk/id/eprint/40338