Samuel T. Ojetola
Senior Member of Technical Staff
Biography
Education
- Ph.D. Electrical Engineering, Montana State University, MT
- Masters of Science, Electrical Engineering, University of Bridgeport, CT
- Bachelors of Science, Electrical and Electronics Engineering, University of Lagos, Nigeria
Publications
Kevin Stamber, Bryan Arguello, Richard Garrett, Walter Beyeler, Casey Doyle, Samuel Ojetola, David Schoenwald, (2022). Optimal Electric Grid Black Start Restoration Subject to Intentional Threats https://doi.org/10.2172/1891379 Publication ID: 80333
Samuel Ojetola, Josh Wold, Daniel Trudnowski, (2022). Feedback Control Strategy for Transient Stability Application Energies https://doi.org/10.3390/en15166016 Publication ID: 80111
Samuel Ojetola, Matthew Reno, Jack Flicker, Daniel Bauer, David Stoltzfuz, (2022). Testing Machine Learned Fault Detection and Classification on a DC Microgrid 2022 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2022 https://doi.org/10.1109/ISGT50606.2022.9817517 Publication ID: 75724
Matthew Reno, Christian Jones, Samuel Ojetola, (2021). Machine Learning Based Fault Detection And Location In Electric Power Distribution Systems https://doi.org/10.2172/1887044 Publication ID: 75599
Samuel Ojetola, Josh Wold, Daniel Trudnowski, Felipe Wilches-Bernal, Ryan Elliott, (2020). A real power injection control strategy for improving transient stability IEEE Power and Energy Society General Meeting https://www.osti.gov/servlets/purl/1643263 Publication ID: 66258
Showing Results.