Home ›
Entities
› academia
› Prediction of global solar radiation potential for sustainable and cleaner energy generation using improved Angstrom-Prescott and Gumbel probabilistic models
Prediction of global solar radiation potential for sustainable and cleaner energy generation using improved Angstrom-Prescott and Gumbel probabilistic models
Research article (Cleaner Engineering and Technology, 2022) · cited 57× · AI/ML
Prediction of global solar radiation potential for sustainable and cleaner energy generation using improved Angstrom-Prescott and Gumbel probabilistic models
Summary
Prediction of global solar radiation potential for sustainable and cleaner energy generation using improved Angstrom-Prescott and Gumbel probabilistic models is a scholarly article[1].
Key Facts
Prediction of global solar radiation potential for sustainable and cleaner energy generation using improved Angstrom-Prescott and Gumbel probabilistic models'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). Prediction of global solar radiation potential for sustainable and cleaner energy generation using improved Angstrom-Prescott and Gumbel probabilistic models. Retrieved May 24, 2026, from https://4ort.xyz/entity/prediction-of-global-solar-radiation-potential-for-sustainable-and-cleaner-energy-generation-using-improved-angstrom-pre
MLA“Prediction of global solar radiation potential for sustainable and cleaner energy generation using improved Angstrom-Prescott and Gumbel probabilistic models.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/prediction-of-global-solar-radiation-potential-for-sustainable-and-cleaner-energy-generation-using-improved-angstrom-pre.
BibTeX@misc{4ortxyz_prediction-of-global-solar-radiation-potential-for-sustainable-and-cleaner-energy-generation-using-improved-angstrom-pre_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Prediction of global solar radiation potential for sustainable and cleaner energy generation using improved Angstrom-Prescott and Gumbel probabilistic models}}, year = {2026}, url = {https://4ort.xyz/entity/prediction-of-global-solar-radiation-potential-for-sustainable-and-cleaner-energy-generation-using-improved-angstrom-pre}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Prediction of global solar radiation potential for sustainable and cleaner energy generation using improved Angstrom-Prescott and Gumbel probabilistic models — https://4ort.xyz/entity/prediction-of-global-solar-radiation-potential-for-sustainable-and-cleaner-energy-generation-using-improved-angstrom-pre (retrieved 2026-05-24)
