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Short-Term Spinning Reserve Requirement Estimation Using TimeGAN-Based Synthetic Data Augmentation and a Hybrid LSTM–XGBoost Model

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Bibliographic Details
Published in:Balkan Journal of Electrical and Computer Engineering
Format: Online Article RSS Article
Published: 2026
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container_title Balkan Journal of Electrical and Computer Engineering
description
discipline_display Computer Science
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institution FRELIP
journal_source_facet Balkan Journal of Electrical and Computer Engineering
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
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_auth Short-Term Spinning Reserve Requirement Estimation Using TimeGAN-Based Synthetic Data Augmentation and a Hybrid LSTM–XGBoost Model
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_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