Yoan Villeneuve

Student (Ph.D.), GERAD

Université du Québec à Chicoutimi

yoan.villeneuve1@uqac.ca

Education

since Jan 2022

Ph.D. Developping new methods for hydropower optimization, based on mathematical programming and machine learning

Université du Québec à Chicoutimi, Sara Séguin, director

Sep 2019 – Feb 2022

Master's degree Développement d'une méthode d'optimisation pour la génération des horaires des infirmières afin de minimiser l'absentéisme et les arrêts de travail liés aux dépressions et à l'épuisement professionnel

Université du Québec à Chicoutimi, Sara Séguin, director

Publications

Mar 2025

G-2025-25
Improving nurse scheduling using a random forest algorithm to predict employee well-being

Sara Séguin, Yoan Villeneuve, Julien Maître, and Renaud Grimard

This paper introduces a new approach to nurse scheduling that integrates employee well-being into the decision-making process. A random forest regressor is t...

BibTeX reference

Apr 2023

AI-Based Scheduling Models, Optimization, and Prediction for Hydropower Generation: Opportunities, Issues, and Future Directions

Yoan Villeneuve, Sara Séguin, and Abdellah Chehri

Energies , 16(8), Paper no: 3335, 2023 BibTeX reference

Dec 2022

G-2022-52
A survey on AI-based scheduling models, optimization and prediction for hydropower generation: Variants, challenges, and future directions

Yoan Villeneuve, Sara Séguin, and Abdellah Chehri

The most common form of renewable energy production around the world is hydropower. As a result of the growing demand for robust and environmentally friendly...

BibTeX reference

5 publications