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Data augmentation for time series regression: Applying transformations, autoencoders and adversarial networks to electricity price forecasting
Research article (Applied Energy, 2021) · cited 104× · AI/ML
Data augmentation for time series regression: Applying transformations, autoencoders and adversarial networks to electricity price forecasting
Summary
Data augmentation for time series regression: Applying transformations, autoencoders and adversarial networks to electricity price forecasting is a scholarly article[1].
Key Facts
Data augmentation for time series regression: Applying transformations, autoencoders and adversarial networks to electricity price forecasting's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Data augmentation for time series regression: Applying transformations, autoencoders and adversarial networks to electricity price forecasting. Retrieved May 24, 2026, from https://4ort.xyz/entity/data-augmentation-for-time-series-regression-applying-transformations-autoencoders-and-adversarial-networks-to-electrici
MLA“Data augmentation for time series regression: Applying transformations, autoencoders and adversarial networks to electricity price forecasting.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/data-augmentation-for-time-series-regression-applying-transformations-autoencoders-and-adversarial-networks-to-electrici.
BibTeX@misc{4ortxyz_data-augmentation-for-time-series-regression-applying-transformations-autoencoders-and-adversarial-networks-to-electrici_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Data augmentation for time series regression: Applying transformations, autoencoders and adversarial networks to electricity price forecasting}}, year = {2026}, url = {https://4ort.xyz/entity/data-augmentation-for-time-series-regression-applying-transformations-autoencoders-and-adversarial-networks-to-electrici}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Data augmentation for time series regression: Applying transformations, autoencoders and adversarial networks to electricity price forecasting — https://4ort.xyz/entity/data-augmentation-for-time-series-regression-applying-transformations-autoencoders-and-adversarial-networks-to-electrici (retrieved 2026-05-24)
