crossrefEnergy and AICited by 1

Artificial intelligence and machine learning for production prediction and optimization of oil and gas surface networks

Ussama Ali, Paul Naveen, Emad W. Al-Shalabi, Hamid Ait Abderrahmane

Related papers

crossrefEnergy and AI2026-07-01

Cross-Laboratory Generalization Failure in Perovskite Solar Cell Machine Learning: A Diagnostic Protocol and Evaluation Threshold

Minseong Kim, Jinho Lee, Hye W. Chun, Eun Seo Shin, Hyosung Choi, Dong-Won Kang, et al.

crossrefEnergy and AI2026-05-01Cited by 1

Machine learning-assisted optimization of eco-friendly Sb₂S₃ thin-film solar cells: a sustainable SCAPS-1D and SHAP-based design framework

Ajwa Ikram, Usama Ghulam Mustafa, Adham Hashibon, Mingqing Wang, Hafeez Anwar

crossrefEnergy and AI2026-05-01

A data-driven digital twin approach for real-time flux density prediction in solar power towers using ray-level deep learning corrections

Sergio Díaz-Alonso, Christian Raeder, Allen Charly, Bernhard Hoffschmidt

crossrefEnergy and AI2026-05-01Cited by 1

Autonomous digital twin framework for gas turbine combined cycle control loops: Comparative study of proportional-integral control, reinforcement learning, and reinforcement learning with agents

Raymoon Hwang, Jaechul Lee, Junghwan Kim, Il Moon, Min Oh

crossrefEnergy and AI

Integrated machine-learning framework for prediction of transient fuel flow dynamics in a gasoline direct injection (GDI) injector

Kyungwon Lee, Sungkwang Mun, Le Zhao, Jiwoong Park, Anqi Zhang, Yuanjiang Pei, et al.

crossrefEnergy and AICited by 1

Predicting thermal sensation vote in an educational building: A comparative assessment of PMV-based mapping and machine learning approaches

Paria Movahed, Ali Razban