AMPL 10.3: Embed the power of AMPL in your business application!
AMPL API mechanics
The distribution provided by Artelys now includes the AMPL API which provides an object-oriented callable library that lets you access AMPL models and run AMPL commands from external programs. The API enables:
• Programming complex algorithmic schemes
• Embedding AMPL in enterprise applications
• Deployment of AMPL models
Test the new API by downloading a trial version of AMPL:
EEX launches auctions for French Biogas Guarantees of Origin
— The European Energy Exchange (EEX), in collaboration with the French Ministry of Energy, is introducing auctions for biogas Guarantees of Origin (GOs). Artelys provides the market-clearing technology to optimize the auction process, supporting renewable energy certification and decarbonization efforts.
Innovative grid technologies can improve renewable energy integration in the Latvian grid by up to 40%
—The power grid faces challenges in managing the increasing amounts of new wind and solar power generation. Grid Enhancing Technologies (GETs) are essential for optimizing the use of the existing infrastructure. Artelys carried out a study for Latvian Transmission System Operator (TSO) AST to assess the renewable generation hosting capacity of the transmission grid and to evaluate the benefits that GETs can provide to renewable integration. The study performed simulations using the open-source optimal flow tool, PowSyBI Metrix. Results show that Grid Enhancing Technologies can increase Renewable Energy Sources (RES) hosting capacity by up to 40% and were announced in the following press release.
Artelys Knitro 14.1: delivers very quick solutions on non-convex models
— 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.
You missed the METIS 3 Dissemination event? The slides are now available!
— Artelys was thrilled to organize the METIS 3 Dissemination webinar on April 17, which was a great opportunity to present key studies and upgrades of METIS models and datasets conducted in the last four years, including exciting discussions with external panelists!
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