Meet Artelys at the 2019 INFORMS Annual Meeting in Seattle (USA)
The INFORMS Annual Meeting brings together more than 6,000 INFORMS members constituted of top industrials and academics in analytics.
Artelys will be at booth 15. Come meet our consultants, they will be happy to provide you with information on our products, consulting services and training, and discuss the latest news in the advanced analytics field.
During the event, Artelys will present the latest version of its nonlinear optimization solver Artelys Knitro (version 12.0), and especially its brand-new interface with Julia/JuMP.
Details:
- Monday, October 21, 8:00 – 8:45: Nonlinear Optimization Using Artelys Knitro with Julia/JuMP presented by Richard Waltz, Lead Developer of Artelys Knitro
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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