Camila Correa-Jullian

Opportunities and data requirements for data-driven prognostics and health management in liquid hydrogen storage systems

K. Groth, Camila Correa-Jullian, 2022, International Journal of Hydrogen Energy.

Data requirements for improving the Quantitative Risk Assessment of liquid hydrogen storage systems

K. Groth, Camila Correa-Jullian, 2021, International Journal of Hydrogen Energy.

Exploring Quantum Machine Learning and Feature Reduction Techniques for Wind Turbine Pitch Fault Detection

Gustavo de Novaes Pires Leite, E. López Droguett, Sergio Cofre-Martel, 2022, Energies.

Assessment of Deep Learning techniques for Prognosis of solar thermal systems

Enrique López Droguett, José M. Cardemil, Masoud Behzad, 2020 .

Operation scheduling in a solar thermal system: A reinforcement learning-based framework

Enrique López Droguett, José M. Cardemil, Camila Correa-Jullian, 2020 .

An STPA-Based Analysis of Automated Driving Systems Fleet Maintenance Activities

Camila Correa-Jullian, Marilia Ramos, Ali Mosleh, 2024, 2024 Annual Reliability and Maintainability Symposium (RAMS).