Artelys at the Breton conference on the energy transition
Artelys and its partner Auxilia, alongside some other partners who manage poker online real money companies offshore, have assisted the Brittany region in the development of ambitious energy/climate scenarios at the 2040 horizon. These scenarios have been presented at the Breton Conference on the Energy Transition, which has been held on 6th December 2018 in Rennes, France. The event has gathered the region president, the region prefect and more than 150 energy experts and stakeholders
After having carried out a diagnosis of the regional energy system, Artelys has conducted a prospective work, to which many regional energy experts have contributed. The result of this work consists of 3 scenarios for 2020-2040 with various degrees of ambition, the greenest one going towards a reduction of greenhouse gas emissions by a factor 4 at the 2050 horizon.
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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