ermatita, ermatita (2019) Similarity Time series forecasting for electricity consumption using kernel principal component analysis (kPCA) and support vector machine (SVM). Journal of Physics: Conference Series.
![[thumbnail of Turnitin - Time series forecasting for electricity consumption using kernel principal component analysis (kPCA) and support vector machine (SVM) (1).pdf]](http://repository.unsri.ac.id/style/images/fileicons/text.png) |
Text
Turnitin - Time series forecasting for electricity consumption using kernel principal component analysis (kPCA) and support vector machine (SVM) (1).pdf Download (1MB) |
Abstract
Similarity Time series forecasting for electricity consumption using kernel principal component analysis (kPCA) and support vector machine (SVM)
| Item Type: | Other |
|---|---|
| Subjects: | Q Science > Q Science (General) > Q334-342 Computer science. Artificial intelligence. Algorithms. Robotics. Automation. |
| Divisions: | 09-Faculty of Computer Science > 55101-Informatics (S2) |
| Depositing User: | Dr Ermatita zuhairi |
| Date Deposited: | 09 Jun 2023 00:30 |
| Last Modified: | 09 Jun 2023 00:30 |
| URI: | http://repository.unsri.ac.id/id/eprint/107449 |
Actions (login required)
 |
View Item |