| Title: | Quantifying power system frequency quality and extracting typical patterns within short time scales below one hour |
|---|
| Authors: | ID Mohammadi, Younes (Author)
ID Polajžer, Boštjan (Author)
ID Chouhy Leborgne, Roberto (Author)
ID Khodadad, Davood (Author) |
|---|
| Files: |  1-s2.0-S2352467724000882-main.pdf (12,67 MB)
MD5: 11CAE3F1A106F4A25F4F67B39724E5AF
|
|---|
| Language: | English |
|---|
| Work type: | Article |
|---|
| Typology: | 1.01 - Original Scientific Article |
|---|
| Organization: | FERI - Faculty of Electrical Engineering and Computer Science
|
|---|
| Keywords: | quantifying power system frequency quality, statistical indices, pattern extracting, machine learning, short time scales, renewable energy sources |
|---|
| Submitted for review: | 13.03.2024 |
|---|
| Article acceptance date: | 21.03.2024 |
|---|
| Publication date: | 26.03.2024 |
|---|
| Publisher: | Elsevier |
|---|
| Year of publishing: | 2024 |
|---|
| Number of pages: | 24 str. |
|---|
| Numbering: | Vol. 38, [article no.] 101359 |
|---|
| PID: | 20.500.12556/DKUM-90150  |
|---|
| UDC: | 621.31 |
|---|
| ISSN on article: | 2352-4677 |
|---|
| COBISS.SI-ID: | 191174915 |
|---|
| DOI: | 10.1016/j.segan.2024.101359 |
|---|
| Publication date in DKUM: | 23.08.2024 |
|---|
| Views: | 50 |
|---|
| Downloads: | 5 |
|---|
| Metadata: |    |
|---|
| Categories: | Misc.
|
|---|
|
:
|
Copy citation |
|---|
| | | | Average score: | (0 votes) |
|---|
| Your score: | Voting is allowed only for logged in users. |
|---|
| Share: |  |
|---|
Hover the mouse pointer over a document title to show the abstract or click
on the title to get all document metadata. |
