An ultra-short-term wind power prediction method based on spatial-temporal attention graph convolutional model
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An ultra-short-term wind power prediction method based on spatial-temporal attention graph convolutional model is a scholarly article[1].
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An ultra-short-term wind power prediction method based on spatial-temporal attention graph convolutional model's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). An ultra-short-term wind power prediction method based on spatial-temporal attention graph convolutional model. Retrieved May 24, 2026, from https://4ort.xyz/entity/an-ultra-short-term-wind-power-prediction-method-based-on-spatial-temporal-attention-graph-convolutional-model
MLA“An ultra-short-term wind power prediction method based on spatial-temporal attention graph convolutional model.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/an-ultra-short-term-wind-power-prediction-method-based-on-spatial-temporal-attention-graph-convolutional-model.
BibTeX@misc{4ortxyz_an-ultra-short-term-wind-power-prediction-method-based-on-spatial-temporal-attention-graph-convolutional-model_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{An ultra-short-term wind power prediction method based on spatial-temporal attention graph convolutional model}}, year = {2026}, url = {https://4ort.xyz/entity/an-ultra-short-term-wind-power-prediction-method-based-on-spatial-temporal-attention-graph-convolutional-model}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): An ultra-short-term wind power prediction method based on spatial-temporal attention graph convolutional model — https://4ort.xyz/entity/an-ultra-short-term-wind-power-prediction-method-based-on-spatial-temporal-attention-graph-convolutional-model (retrieved 2026-05-24)
