Special periods peak load analysis and superior forecasting method based on LS-SVM
- Publication Type:
- Conference Proceeding
- Citation:
- Proceedings of the 2007 International Conference on Wavelet Analysis and Pattern Recognition, ICWAPR '07, 2007, 1 pp. 249 - 253
- Issue Date:
- 2007-01-01
Closed Access
| Filename | Description | Size | |||
|---|---|---|---|---|---|
 | 2007001105.pdf | 339.37 kB |
Copyright Clearance Process
- Recently Added
- In Progress
- Closed Access
This item is closed access and not available.
People often try to smooth or eliminate load outliers all together in traditional power load forecasting. This, however, could result in the loss of important hidden information. In other words, the power load outliers themselves may be particular important. Hence there is a beforehand estimate to change and characteristic of power load, especially in power load outliers or peak load, is a precondition of power system carry through economy dispatch, reduce production cost and prevent widespread blackout or collapse on electric system. In this paper propose a novel method for special periods power peak load detection, mining and forecasting. It incorporates the characteristic of high level load and maximum peak load analysis with optimum forecasting algorithm based on support vector machine. The validity of the method is proved by real data calculation. © 2007 IEEE.
Please use this identifier to cite or link to this item: