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
Full text not available in this repository. (Request a copy from the Strathclyde author)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 |
| 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: | 03 Jul 2012 16:28 |
| URI: | http://strathprints.strath.ac.uk/id/eprint/40338 |
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