Full Text Available
Note: Clicking the button above will open the full text document at the original institutional repository in a new window.
Short-Term Spinning Reserve Requirement Estimation Using TimeGAN-Based Synthetic Data Augmentation and a Hybrid LSTM–XGBoost Model
Saved in:
| Published in: | Balkan Journal of Electrical and Computer Engineering |
|---|---|
| Format: | Online Article RSS Article |
| Published: |
2026
|
| Subjects: | |
| Tags: |
No Tags, Be the first to tag this record!
|
| _version_ | 1868553618979815424 |
|---|---|
| collection | WordPress RSS FRELIP Feed Integration |
| container_title | Balkan Journal of Electrical and Computer Engineering |
| description | |
| discipline_display | Computer Science |
| discipline_facet | Computer Science |
| format | Online Article RSS Article |
| genre | Journal Article |
| id | rss_article:78000 |
| institution | FRELIP |
| journal_source_facet | Balkan Journal of Electrical and Computer Engineering |
| last_indexed | 2026-06-20T21:39:49.249Z |
| publishDate | 2026 |
| publishDateSort | 2026 |
| record_format | rss_article |
| spellingShingle | Short-Term Spinning Reserve Requirement Estimation Using TimeGAN-Based Synthetic Data Augmentation and a Hybrid LSTM–XGBoost Model Computer Science General Computer Science |
| sub_discipline_display | General |
| sub_discipline_facet | General |
| subject_display | Computer Science General Computer Science |
| subject_facet | Computer Science General Computer Science |
| title | Short-Term Spinning Reserve Requirement Estimation Using TimeGAN-Based Synthetic Data Augmentation and a Hybrid LSTM–XGBoost Model |
| title_alt | Estimación del requisito de reserva giratoria a corto plazo utilizando aumento de datos sintéticos basado en TimeGAN y un modelo híbrido LSTM–XGBoost Estimation des besoins en réserve tournante à court terme à l'aide de l'augmentation de données synthétiques basée sur TimeGAN et d'un modèle hybride LSTM–XGBoost Estimativa de requisito de reserva girante de curto prazo usando aumento de dados sintéticos baseado em TimeGAN e um modelo híbrido LSTM–XGBoost |
| title_auth | Short-Term Spinning Reserve Requirement Estimation Using TimeGAN-Based Synthetic Data Augmentation and a Hybrid LSTM–XGBoost Model |
| title_es_txt | Estimación del requisito de reserva giratoria a corto plazo utilizando aumento de datos sintéticos basado en TimeGAN y un modelo híbrido LSTM–XGBoost |
| title_fr_txt | Estimation des besoins en réserve tournante à court terme à l'aide de l'augmentation de données synthétiques basée sur TimeGAN et d'un modèle hybride LSTM–XGBoost |
| title_full | Short-Term Spinning Reserve Requirement Estimation Using TimeGAN-Based Synthetic Data Augmentation and a Hybrid LSTM–XGBoost Model |
| title_fullStr | Short-Term Spinning Reserve Requirement Estimation Using TimeGAN-Based Synthetic Data Augmentation and a Hybrid LSTM–XGBoost Model |
| title_full_unstemmed | Short-Term Spinning Reserve Requirement Estimation Using TimeGAN-Based Synthetic Data Augmentation and a Hybrid LSTM–XGBoost Model |
| title_pt_txt | Estimativa de requisito de reserva girante de curto prazo usando aumento de dados sintéticos baseado em TimeGAN e um modelo híbrido LSTM–XGBoost |
| title_short | Short-Term Spinning Reserve Requirement Estimation Using TimeGAN-Based Synthetic Data Augmentation and a Hybrid LSTM–XGBoost Model |
| title_sort | short-term spinning reserve requirement estimation using timegan-based synthetic data augmentation and a hybrid lstm–xgboost model |
| topic | Computer Science General Computer Science |
| url | https://dergipark.org.tr/en/pub/bajece/article/1907986%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20 |