Kabe Moyeme is a third-year PhD student at the Centre d’Excellence Régional pour la Maîtrise de l’Electricité (CERME), specializing in electro-energetics and smart grids. Previously, Kabe earned a PhD in Physics with a focus on materials for optoelectronic applications and renewable energies, a joint program between the University of Lomé (Togo) and the University of Aix-Marseille (France), funded by a SCAC-Togo grant. Kabe also holds a Master’s degree in Physics from the University of Lomé, awarded with high honors. Proficient in Python programming, Matlab, and various simulation tools, Kabe is experienced in using OpenDSS, PSSE, PSAT-MATLAB, Powerworld, SCAPS, SRIM, SREM, and LTspice. Kabe’s expertise includes the use of characterization devices for photovoltaic solar cells.
Professional Profile:
Orcid
Education:
Kabe Moyeme is currently a third-year PhD student in Electrical Engineering at the Centre d’Excellence Régional pour la Maîtrise de l’Electricité (CERME), specializing in electro-energetics and smart grids (2021-2024). He previously earned a PhD in Physics from the University of Lomé (Togo) and the University of Aix-Marseille (France) through a joint program (2017-2020). His research focused on materials for optoelectronic applications and renewable energies, and he was honored with very honorable distinctions from the jury. This PhD was funded by a SCAC-Togo grant. Kabe also holds a Master’s degree in Physics, with a specialization in Components-Signals-Systems, from the University of Lomé, officially presented in December 2016. Additionally, he completed his Licence LMD in Physics at the University of Lomé (2010-2014). His earlier education includes secondary school cycles completed at Tône, from 2003 to 2010.
Work Experience:
Kabe Moyeme has been engaged as a PhD researcher since 2021 at the Centre d’Excellence Régional pour la Maîtrise de l’Electricité (CERME), focusing on electro-energetics and smart grids. Prior to this role, from 2017 to 2020, he conducted research as a PhD researcher at the University of Lomé and the University of Aix-Marseille, concentrating on materials for optoelectronic applications and renewable energies.
Publication Top Notes:
Title: Optimal Electrification Using Renewable Energies: Microgrid Installation Model with Combined Mixture k-Means Clustering Algorithm, Mixed Integer Linear Programming, and Onsset Method
- Journal: Energies
- Published Year: 2024
- DOI: 10.3390/en17123022
- Contributors: Moyème Kabe; Yao Bokovi; Kwami Senam Sedzro; Pidéname Takouda; Yendoubé Lare
Title: Optimal Electrification Using Renewable Energies: Microgrid Installation Model with Combined Mixture k-Means Clustering Algorithm, Mixed Integer Linear Programming and Onsset Method
- Published Year: 2024
- Journal: Preprint
- DOI: 10.20944/preprints202405.0176.v1
- Contributors: Kabe Moyème; Bokovi Yao; Kwami Senam Sedzro; Takouda Pidéname; Lare Yendoubé