Home › Entities › academia › A novel approach to Predict WTI crude spot oil price: LSTM-based feature extraction with Xgboost Regressor

A novel approach to Predict WTI crude spot oil price: LSTM-based feature extraction with Xgboost Regressor

Research article (Energy, 2024) · cited 24× · AI/ML
academia openalex:W4402424043
Press Enter · cited answer in seconds

A novel approach to Predict WTI crude spot oil price: LSTM-based feature extraction with Xgboost Regressor

Summary

A novel approach to Predict WTI crude spot oil price: LSTM-based feature extraction with Xgboost Regressor is a scholarly article[1].

Key Facts

  • A novel approach to Predict WTI crude spot oil price: LSTM-based feature extraction with Xgboost Regressor's instance of is recorded as scholarly article[2].

References

Programmatic citations — every numbered marker resolves to a verifiable graph row below.

Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

📑 Cite this page

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.

APA 4ort.xyz Knowledge Graph. (2026). A novel approach to Predict WTI crude spot oil price: LSTM-based feature extraction with Xgboost Regressor. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-novel-approach-to-predict-wti-crude-spot-oil-price-lstm-based-feature-extraction-with-xgboost-regressor
MLA “A novel approach to Predict WTI crude spot oil price: LSTM-based feature extraction with Xgboost Regressor.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-novel-approach-to-predict-wti-crude-spot-oil-price-lstm-based-feature-extraction-with-xgboost-regressor.
BibTeX @misc{4ortxyz_a-novel-approach-to-predict-wti-crude-spot-oil-price-lstm-based-feature-extraction-with-xgboost-regressor_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A novel approach to Predict WTI crude spot oil price: LSTM-based feature extraction with Xgboost Regressor}}, year = {2026}, url = {https://4ort.xyz/entity/a-novel-approach-to-predict-wti-crude-spot-oil-price-lstm-based-feature-extraction-with-xgboost-regressor}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A novel approach to Predict WTI crude spot oil price: LSTM-based feature extraction with Xgboost Regressor — https://4ort.xyz/entity/a-novel-approach-to-predict-wti-crude-spot-oil-price-lstm-based-feature-extraction-with-xgboost-regressor (retrieved 2026-05-24)

Canonical URL: https://4ort.xyz/entity/a-novel-approach-to-predict-wti-crude-spot-oil-price-lstm-based-feature-extraction-with-xgboost-regressor · Last refreshed: