Home ›
Entities
› academia
› A novel framework for carbon price prediction using comprehensive feature screening, bidirectional gate recurrent unit and Gaussian process regression
A novel framework for carbon price prediction using comprehensive feature screening, bidirectional gate recurrent unit and Gaussian process regression
Research article (Journal of Cleaner Production, 2021) · cited 78× · AI/ML
A novel framework for carbon price prediction using comprehensive feature screening, bidirectional gate recurrent unit and Gaussian process regression
Summary
A novel framework for carbon price prediction using comprehensive feature screening, bidirectional gate recurrent unit and Gaussian process regression is a scholarly article[1].
Key Facts
A novel framework for carbon price prediction using comprehensive feature screening, bidirectional gate recurrent unit and Gaussian process regression'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 framework for carbon price prediction using comprehensive feature screening, bidirectional gate recurrent unit and Gaussian process regression. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-novel-framework-for-carbon-price-prediction-using-comprehensive-feature-screening-bidirectional-gate-recurrent-unit-an
MLA“A novel framework for carbon price prediction using comprehensive feature screening, bidirectional gate recurrent unit and Gaussian process regression.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-novel-framework-for-carbon-price-prediction-using-comprehensive-feature-screening-bidirectional-gate-recurrent-unit-an.
BibTeX@misc{4ortxyz_a-novel-framework-for-carbon-price-prediction-using-comprehensive-feature-screening-bidirectional-gate-recurrent-unit-an_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A novel framework for carbon price prediction using comprehensive feature screening, bidirectional gate recurrent unit and Gaussian process regression}}, year = {2026}, url = {https://4ort.xyz/entity/a-novel-framework-for-carbon-price-prediction-using-comprehensive-feature-screening-bidirectional-gate-recurrent-unit-an}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A novel framework for carbon price prediction using comprehensive feature screening, bidirectional gate recurrent unit and Gaussian process regression — https://4ort.xyz/entity/a-novel-framework-for-carbon-price-prediction-using-comprehensive-feature-screening-bidirectional-gate-recurrent-unit-an (retrieved 2026-05-24)