2023 training sessions
Whether you want to develop new skills, deepen your knowledge or give your employees the benefit of training tailored to their needs, our 2023 training cycle is there to meet all your expectations!
Our sessions have three main themes:
- Mathematical optimization and Data Science for operations research (designed as a Master’s level degree course)
- Economic optimization of energy systems with the addition of two new sessions: Introduction to the technical and economic analysis of electrical systems and markets and Introduction to the operation of power systems
- Numerical components and mathematical optimization tools
Find out more on the dedicated page or in the catalogue below.
For more information, feel free to contact us.
Artelys Knitro 16.0: Model Nonlinear Problems Natively, Solve Them Concurrently
Artelys is pleased to announce the release of Knitro 16.0, a major version introducing two flagship features — a native Nonlinear Modeler and a Concurrent Solver — alongside significant performance and robustness improvements for nonlinear, mixed-integer and linear optimization problems.
First Successful Auction for the New French Capacity Mechanism!
— The first auction of the new French Capacity Mechanism was successfully held on Monday, 6 July 2026. Artelys is proud to provide the market clearing algorithm used to select the accepted capacity offers.
Artelys compared the compensation mechanisms available for hydropower across global electricity markets in collaboration with CEATI
— Artelys is proud to have issued a new report published by CEATI, providing a comprehensive benchmark of compensation mechanisms available to hydropower assets across electricity markets in North America, Europe, and beyond.
Artelys Crystal HPC: Our integrated, sovereign High-Performance Computing (HPC) managed platform for industries
— Organizations that run complex simulations, large-scale optimizations, or sensitive calculations face a threefold challenge: securing the computing power to match their ambitions, ensuring data sovereignty, and avoiding weeks of setup time before seeing initial results.
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