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A hybrid model based on smooth transition periodic autoregressive and Elman artificial neural network for wind speed forecasting of the Hebei region in China
Research article (International Journal of Green Energy, 2015) · cited 18× · AI/ML
A hybrid model based on smooth transition periodic autoregressive and Elman artificial neural network for wind speed forecasting of the Hebei region in China
Summary
A hybrid model based on smooth transition periodic autoregressive and Elman artificial neural network for wind speed forecasting of the Hebei region in China is a scholarly article[1].
Key Facts
A hybrid model based on smooth transition periodic autoregressive and Elman artificial neural network for wind speed forecasting of the Hebei region in China'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 hybrid model based on smooth transition periodic autoregressive and Elman artificial neural network for wind speed forecasting of the Hebei region in China. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-hybrid-model-based-on-smooth-transition-periodic-autoregressive-and-elman-artificial-neural-network-for-wind-speed-for
MLA“A hybrid model based on smooth transition periodic autoregressive and Elman artificial neural network for wind speed forecasting of the Hebei region in China.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-hybrid-model-based-on-smooth-transition-periodic-autoregressive-and-elman-artificial-neural-network-for-wind-speed-for.
BibTeX@misc{4ortxyz_a-hybrid-model-based-on-smooth-transition-periodic-autoregressive-and-elman-artificial-neural-network-for-wind-speed-for_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A hybrid model based on smooth transition periodic autoregressive and Elman artificial neural network for wind speed forecasting of the Hebei region in China}}, year = {2026}, url = {https://4ort.xyz/entity/a-hybrid-model-based-on-smooth-transition-periodic-autoregressive-and-elman-artificial-neural-network-for-wind-speed-for}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A hybrid model based on smooth transition periodic autoregressive and Elman artificial neural network for wind speed forecasting of the Hebei region in China — https://4ort.xyz/entity/a-hybrid-model-based-on-smooth-transition-periodic-autoregressive-and-elman-artificial-neural-network-for-wind-speed-for (retrieved 2026-05-24)
