Home ›
Entities
› academia
› A novel approach for harmonic tidal currents constitutions forecasting using hybrid intelligent models based on clustering methodologies
A novel approach for harmonic tidal currents constitutions forecasting using hybrid intelligent models based on clustering methodologies
Research article (Renewable Energy, 2019) · cited 32× · AI/ML
A novel approach for harmonic tidal currents constitutions forecasting using hybrid intelligent models based on clustering methodologies
Summary
A novel approach for harmonic tidal currents constitutions forecasting using hybrid intelligent models based on clustering methodologies is a scholarly article[1].
Key Facts
A novel approach for harmonic tidal currents constitutions forecasting using hybrid intelligent models based on clustering methodologies'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). A novel approach for harmonic tidal currents constitutions forecasting using hybrid intelligent models based on clustering methodologies. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-novel-approach-for-harmonic-tidal-currents-constitutions-forecasting-using-hybrid-intelligent-models-based-on-clusteri
MLA“A novel approach for harmonic tidal currents constitutions forecasting using hybrid intelligent models based on clustering methodologies.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-novel-approach-for-harmonic-tidal-currents-constitutions-forecasting-using-hybrid-intelligent-models-based-on-clusteri.
BibTeX@misc{4ortxyz_a-novel-approach-for-harmonic-tidal-currents-constitutions-forecasting-using-hybrid-intelligent-models-based-on-clusteri_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A novel approach for harmonic tidal currents constitutions forecasting using hybrid intelligent models based on clustering methodologies}}, year = {2026}, url = {https://4ort.xyz/entity/a-novel-approach-for-harmonic-tidal-currents-constitutions-forecasting-using-hybrid-intelligent-models-based-on-clusteri}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A novel approach for harmonic tidal currents constitutions forecasting using hybrid intelligent models based on clustering methodologies — https://4ort.xyz/entity/a-novel-approach-for-harmonic-tidal-currents-constitutions-forecasting-using-hybrid-intelligent-models-based-on-clusteri (retrieved 2026-05-24)
