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| Published in: | IET Renewable Power Generation |
|---|---|
| Format: | Online Article RSS Article |
| Published: |
2026
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| Subjects: | |
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| _version_ | 1864030191404187649 |
|---|---|
| collection | WordPress RSS FRELIP Feed Integration |
| container_title | IET Renewable Power Generation |
| description | |
| discipline_display | Engineering & Technology |
| discipline_facet | Engineering & Technology |
| format | Online Article RSS Article |
| genre | Journal Article |
| id | rss_article:22460 |
| institution | FRELIP |
| journal_source_facet | IET Renewable Power Generation |
| publishDate | 2026 |
| publishDateSort | 2026 |
| record_format | rss_article |
| spellingShingle | PI‐Formers: An AI4S Approach for Transient Rotor Angle Prediction in Renewable‐Integrated Power System Under Large Disturbances — — — — — Renewal Energy Petroleum & Energy Engineering & Technology |
| sub_discipline_display | Petroleum & Energy |
| sub_discipline_facet | Petroleum & Energy |
| subject_display | — — — — — Renewal Energy Petroleum & Energy Engineering & Technology — — — — — Renewal Energy Petroleum & Energy Engineering & Technology |
| subject_facet | — — — — — Renewal Energy Petroleum & Energy Engineering & Technology |
| title | PI‐Formers: An AI4S Approach for Transient Rotor Angle Prediction in Renewable‐Integrated Power System Under Large Disturbances |
| title_auth | PI‐Formers: An AI4S Approach for Transient Rotor Angle Prediction in Renewable‐Integrated Power System Under Large Disturbances |
| title_full | PI‐Formers: An AI4S Approach for Transient Rotor Angle Prediction in Renewable‐Integrated Power System Under Large Disturbances |
| title_fullStr | PI‐Formers: An AI4S Approach for Transient Rotor Angle Prediction in Renewable‐Integrated Power System Under Large Disturbances |
| title_full_unstemmed | PI‐Formers: An AI4S Approach for Transient Rotor Angle Prediction in Renewable‐Integrated Power System Under Large Disturbances |
| title_short | PI‐Formers: An AI4S Approach for Transient Rotor Angle Prediction in Renewable‐Integrated Power System Under Large Disturbances |
| title_sort | pi‐formers: an ai4s approach for transient rotor angle prediction in renewable‐integrated power system under large disturbances |
| topic | — — — — — Renewal Energy Petroleum & Energy Engineering & Technology |
| url | https://ietresearch.onlinelibrary.wiley.com/doi/10.1049/rpg2.70218?af=R |