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A data-driven deep sequence-to-sequence long-short memory method along with a gated recurrent neural network for wind power forecasting
Research article (Energy, 2021) · cited 118× · AI/ML
A data-driven deep sequence-to-sequence long-short memory method along with a gated recurrent neural network for wind power forecasting
Summary
A data-driven deep sequence-to-sequence long-short memory method along with a gated recurrent neural network for wind power forecasting is a scholarly article[1].
Key Facts
A data-driven deep sequence-to-sequence long-short memory method along with a gated recurrent neural network for wind power forecasting's instance of is recorded as scholarly article[2].
References
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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). A data-driven deep sequence-to-sequence long-short memory method along with a gated recurrent neural network for wind power forecasting. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-data-driven-deep-sequence-to-sequence-long-short-memory-method-along-with-a-gated-recurrent-neural-network-for-wind-po
MLA“A data-driven deep sequence-to-sequence long-short memory method along with a gated recurrent neural network for wind power forecasting.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-data-driven-deep-sequence-to-sequence-long-short-memory-method-along-with-a-gated-recurrent-neural-network-for-wind-po.
BibTeX@misc{4ortxyz_a-data-driven-deep-sequence-to-sequence-long-short-memory-method-along-with-a-gated-recurrent-neural-network-for-wind-po_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A data-driven deep sequence-to-sequence long-short memory method along with a gated recurrent neural network for wind power forecasting}}, year = {2026}, url = {https://4ort.xyz/entity/a-data-driven-deep-sequence-to-sequence-long-short-memory-method-along-with-a-gated-recurrent-neural-network-for-wind-po}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A data-driven deep sequence-to-sequence long-short memory method along with a gated recurrent neural network for wind power forecasting — https://4ort.xyz/entity/a-data-driven-deep-sequence-to-sequence-long-short-memory-method-along-with-a-gated-recurrent-neural-network-for-wind-po (retrieved 2026-05-24)
