Data augmentation through multivariate scenario forecasting in Data Centers using Generative Adversarial Networks

Research article (arXiv (Cornell University), 2022) · cited 28× · AI/ML
Press Enter · cited answer in seconds

Data augmentation through multivariate scenario forecasting in Data Centers using Generative Adversarial Networks

Summary

Data augmentation through multivariate scenario forecasting in Data Centers using Generative Adversarial Networks is a scholarly article[1].

Key Facts

  • Data augmentation through multivariate scenario forecasting in Data Centers using Generative Adversarial Networks's instance of is recorded as scholarly article[2].

📑 Cite this page

Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.

APA 4ort.xyz Knowledge Graph. (2026). Data augmentation through multivariate scenario forecasting in Data Centers using Generative Adversarial Networks. Retrieved May 24, 2026, from https://4ort.xyz/entity/data-augmentation-through-multivariate-scenario-forecasting-in-data-centers-using-generative-adversarial-networks
MLA “Data augmentation through multivariate scenario forecasting in Data Centers using Generative Adversarial Networks.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/data-augmentation-through-multivariate-scenario-forecasting-in-data-centers-using-generative-adversarial-networks.
BibTeX @misc{4ortxyz_data-augmentation-through-multivariate-scenario-forecasting-in-data-centers-using-generative-adversarial-networks_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Data augmentation through multivariate scenario forecasting in Data Centers using Generative Adversarial Networks}}, year = {2026}, url = {https://4ort.xyz/entity/data-augmentation-through-multivariate-scenario-forecasting-in-data-centers-using-generative-adversarial-networks}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Data augmentation through multivariate scenario forecasting in Data Centers using Generative Adversarial Networks — https://4ort.xyz/entity/data-augmentation-through-multivariate-scenario-forecasting-in-data-centers-using-generative-adversarial-networks (retrieved 2026-05-24)

Canonical URL: https://4ort.xyz/entity/data-augmentation-through-multivariate-scenario-forecasting-in-data-centers-using-generative-adversarial-networks · Last refreshed: