Home ›
Entities
› academia
› Applicability analysis of transformer to wind speed forecasting by a novel deep learning framework with multiple atmospheric variables
Applicability analysis of transformer to wind speed forecasting by a novel deep learning framework with multiple atmospheric variables
Research article (Applied Energy, 2023) · cited 86× · AI/ML
Applicability analysis of transformer to wind speed forecasting by a novel deep learning framework with multiple atmospheric variables
Summary
Applicability analysis of transformer to wind speed forecasting by a novel deep learning framework with multiple atmospheric variables is a scholarly article[1].
Key Facts
Applicability analysis of transformer to wind speed forecasting by a novel deep learning framework with multiple atmospheric variables's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
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.
APA4ort.xyz Knowledge Graph. (2026). Applicability analysis of transformer to wind speed forecasting by a novel deep learning framework with multiple atmospheric variables. Retrieved May 24, 2026, from https://4ort.xyz/entity/applicability-analysis-of-transformer-to-wind-speed-forecasting-by-a-novel-deep-learning-framework-with-multiple-atmosph
MLA“Applicability analysis of transformer to wind speed forecasting by a novel deep learning framework with multiple atmospheric variables.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/applicability-analysis-of-transformer-to-wind-speed-forecasting-by-a-novel-deep-learning-framework-with-multiple-atmosph.
BibTeX@misc{4ortxyz_applicability-analysis-of-transformer-to-wind-speed-forecasting-by-a-novel-deep-learning-framework-with-multiple-atmosph_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Applicability analysis of transformer to wind speed forecasting by a novel deep learning framework with multiple atmospheric variables}}, year = {2026}, url = {https://4ort.xyz/entity/applicability-analysis-of-transformer-to-wind-speed-forecasting-by-a-novel-deep-learning-framework-with-multiple-atmosph}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Applicability analysis of transformer to wind speed forecasting by a novel deep learning framework with multiple atmospheric variables — https://4ort.xyz/entity/applicability-analysis-of-transformer-to-wind-speed-forecasting-by-a-novel-deep-learning-framework-with-multiple-atmosph (retrieved 2026-05-24)
