Long-term electric peak load forecasting for power system planning: A comparative study
| Author | Soliman, S.A. |
| Author | Alammari, R.A. |
| Author | El-Hawary, M.E. |
| Author | Temraz, H.K. |
| Available date | 2009-12-28T15:13:16Z |
| Publication Date | 2004-04 |
| Publication Name | Arabian Journal for Science and Engineering |
| Citation | Soliman, S.A., Alammari, R.A., El-Hawary, M.E., Temraz, H.K., "Long-term electric peak load forecasting for power system planning: A comparative study", Arabian Journal for Science and Engineering, Volume 29, Issue 1 B, April 2004, Pages 85-94 |
| ISSN | 1319-8025 |
| Abstract | A comparative study between two static estimation algorithms, namely least error squares (LES) and least absolute value (LAV) algorithm was presented. The proposed algorithm used the past history data for the load and the influence factors. Different models were developed and tested for long-term peak load power forecasting. It was shown that the LES algorithm produces better-predicted results than the LAV algorithm in the time-dependent model. |
| Language | en |
| Publisher | King Fahd University of Petroleum and Minerals |
| Subject | LES and LAV estimation algorithms Long-term planning Parameter estimation Peak load forecasting |
| Type | Article |
Files in this item
| Files | Size | Format | View |
|---|---|---|---|
|
There are no files associated with this item. |
|||
This item appears in the following Collection(s)
-
Technology Innovation and Engineering Education Unit [56 items ]