Home ›
Entities
› academia
› Ultra-Short-Term Prediction of Wind Farm Cluster Power Based on Embedded Graph Structure Learning With Spatiotemporal Information Gain
Ultra-Short-Term Prediction of Wind Farm Cluster Power Based on Embedded Graph Structure Learning With Spatiotemporal Information Gain
Research article (IEEE Transactions on Sustainable Energy, 2024) · cited 39× · AI/ML
Ultra-Short-Term Prediction of Wind Farm Cluster Power Based on Embedded Graph Structure Learning With Spatiotemporal Information Gain
Summary
Ultra-Short-Term Prediction of Wind Farm Cluster Power Based on Embedded Graph Structure Learning With Spatiotemporal Information Gain is a scholarly article[1].
Key Facts
Ultra-Short-Term Prediction of Wind Farm Cluster Power Based on Embedded Graph Structure Learning With Spatiotemporal Information Gain'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). Ultra-Short-Term Prediction of Wind Farm Cluster Power Based on Embedded Graph Structure Learning With Spatiotemporal Information Gain. Retrieved May 24, 2026, from https://4ort.xyz/entity/ultra-short-term-prediction-of-wind-farm-cluster-power-based-on-embedded-graph-structure-learning-with-spatiotemporal-in
MLA“Ultra-Short-Term Prediction of Wind Farm Cluster Power Based on Embedded Graph Structure Learning With Spatiotemporal Information Gain.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/ultra-short-term-prediction-of-wind-farm-cluster-power-based-on-embedded-graph-structure-learning-with-spatiotemporal-in.
BibTeX@misc{4ortxyz_ultra-short-term-prediction-of-wind-farm-cluster-power-based-on-embedded-graph-structure-learning-with-spatiotemporal-in_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Ultra-Short-Term Prediction of Wind Farm Cluster Power Based on Embedded Graph Structure Learning With Spatiotemporal Information Gain}}, year = {2026}, url = {https://4ort.xyz/entity/ultra-short-term-prediction-of-wind-farm-cluster-power-based-on-embedded-graph-structure-learning-with-spatiotemporal-in}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Ultra-Short-Term Prediction of Wind Farm Cluster Power Based on Embedded Graph Structure Learning With Spatiotemporal Information Gain — https://4ort.xyz/entity/ultra-short-term-prediction-of-wind-farm-cluster-power-based-on-embedded-graph-structure-learning-with-spatiotemporal-in (retrieved 2026-05-24)
