A new chaotic time series hybrid prediction method of wind power based on EEMD-SE and full-parameters continued fraction
Summary
A new chaotic time series hybrid prediction method of wind power based on EEMD-SE and full-parameters continued fraction is a scholarly article[1].
Key Facts
A new chaotic time series hybrid prediction method of wind power based on EEMD-SE and full-parameters continued fraction's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). A new chaotic time series hybrid prediction method of wind power based on EEMD-SE and full-parameters continued fraction. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-new-chaotic-time-series-hybrid-prediction-method-of-wind-power-based-on-eemd-se-and-full-parameters-continued-fraction
MLA“A new chaotic time series hybrid prediction method of wind power based on EEMD-SE and full-parameters continued fraction.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-new-chaotic-time-series-hybrid-prediction-method-of-wind-power-based-on-eemd-se-and-full-parameters-continued-fraction.
BibTeX@misc{4ortxyz_a-new-chaotic-time-series-hybrid-prediction-method-of-wind-power-based-on-eemd-se-and-full-parameters-continued-fraction_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A new chaotic time series hybrid prediction method of wind power based on EEMD-SE and full-parameters continued fraction}}, year = {2026}, url = {https://4ort.xyz/entity/a-new-chaotic-time-series-hybrid-prediction-method-of-wind-power-based-on-eemd-se-and-full-parameters-continued-fraction}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A new chaotic time series hybrid prediction method of wind power based on EEMD-SE and full-parameters continued fraction — https://4ort.xyz/entity/a-new-chaotic-time-series-hybrid-prediction-method-of-wind-power-based-on-eemd-se-and-full-parameters-continued-fraction (retrieved 2026-05-24)
