Discover Xpress 8.3 and its brand new integrated development environment
The development and deployment environment for optimization solutions Xpress Insight expands, integrating a new tabular visualisation engine “Excel-like” especially efficient to display large tables. It also adds new visualisation features by means of diagrams integrated to VDL language (a simplified language for web views development).
Note that the Python interface now allows nonlinear modeling and solving, benefiting from the full power of the Xpress Nonlinear API.
MARI platform delivers record social welfare gains in its 2025 balancing operations
The Electricity Balancing Guideline (EBGL), in force since 2017, sets out the framework for a European balancing market allowing TSOs to net their balancing needs and to procure balancing energy from providers located both within their own area and across borders. This cooperation mechanism increases the overall security of supply while lowering system-wide balancing costs.
Artelys: Our solutions for maximising the value of hydropower assets
Hydropower plays a strategic role in the energy transition thanks to its unique ability to provide flexibility, storage, and dispatchability to the electricity system. However, managing hydropower systems is becoming increasingly complex: hydrological uncertainty linked to climate change, market volatility, evolving grid needs, and aging assets all call for a rethink of decision-making methods.
Supporting Lithuania’s Energy Security: National Resource Adequacy & Flexibility Needs Assessment for Litgrid
— Artelys is proud to have delivered a National Resource Adequacy Assessment (NRAA) for Litgrid, following the ENTSO-E ERAA methodology, alongside a Flexibility Needs Assessment (FNA) based on the framework set out by ACER.
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.
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