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.
Knitro 14.2 solve your toughest nonlinear non-convex models in seconds
— We are pleased to announce that Artelys Knitro 14.0 is now available! This new version enables compagnies to solve complex non-linear optimization problems with unprecedented efficency and precision.
Artelys Powers the Launch of CorNet’s Common Grid Model (CGM) Service
Artelys has been selected to develop computation engine modules for the Common European Merging Function (EMF) used in the core of the CorNet program’s RCC Service Platform, enabling pan-European operational power grid coordination and security analysis.
Driving Renewable Energy Integration: Advanced Solutions to increase the existing power grid’s renewable hosting capacity
Artelys proposes a methodology based on Artificial Intelligence to evaluate the increase of hosting capacity of variable Renewable Energy Sources (vRES) in electrical networks thanks to Grid Enhancing Technologies (GETs). .
Artelys Participates in the European HyNet Project to Optimize Hybrid AC/DC Power Grids
As part of the Horizon Europe program, Artelys is participating in the HyNet project. This initiative aims to study and optimize the operation of hybrid AC/DC power grids in the context of the rapid growth of power electronics-based technologies and the widespread deployment of distributed energy resources.
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