Abdellah Chehri

Associated member, GERAD

Associate Professor, Department of Mathematics and Computer Science, Royal Military College of Canada

chehri@rmc.ca

Publications

Apr 2025

G-2025-34
Short-term hourly hydropower prediction: Evaluating LSTM and MILP-based methods

Yoan Villeneuve, Sara Séguin, Abdellah Chehri, and Kenjy Demeester

Hydropower generation plays a crucial role in the global energy landscape, offering a renewable and sustainable source of electricity. Accurate forecasting o...

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

News

Several of our members among the world’s most influential researchers

Nov 5, 2025

Several GERAD researchers feature prominently in a ranking that considers the international influence of scientists in all fields. The list was compiled by a research team from Stanford University and Dutch publisher Elsevier, and updated in September 2025.

Several of our members among the world’s most influential researchers

Oct 16, 2024

Several GERAD researchers appear in a ranking of research citations updated in September 2024 and published on the Mendeley website, a search tool belonging to Elsevier, the Dutch scientific publisher.