Open Science
“Open science is the movement to make scientific research […] accessible.” - Wikipedia, Jan 24
For us, accessibility goes beyond publishing research results and code. We strive to make new methods easily usable for others. Our current projects include:
Madupite: a distributed solver for Markov Decision Processes
SIMBa: a high-accuracy system identification toolbox
Geo-trax: a toolbox for extracting georeferenced vehicle trajectories from drone videos
Stabilo and Stabilo-Optimize: two complementary toolboxes for video and trajectory stabilisation, one for performing stabilisation, the other for benchmarking and tuning methods and parameters
cupiqp: a GPU-accelerated quadratic programming (QP) solver for solving large batches of small-to-medium QPs in a single GPU launch and large-scale small and dense QPs
Πnet: Optimising hard-constrained neural networks with orthogonal projection layers
Power Dynamic Estimator: a dynamic state estimation tool for power systems modeled by nonlinear differential-algebraic equations
LaOPT: A native C++ optimal control toolbox for high-performance implementations, and application to racing
Unjam: benchmarking algorithms for traffic control
HBB2OBB: a tool to convert horizontal bounding boxes to oriented bounding boxes
Daline: a toolbox for easily obtaining and comparing linear models of power grids with over 50 data-driven linearisation algorithms
(Of course, NCCR Automation also makes all other research results and data sets publicly available. You can find the publications here and the data sets here.)
How to combine safe and reliable control with high-performance learning-based strategies - by Nicolas Kirsch
How to optimally schedule district heating operation to support the electricity grid - by Giacomo Mastroddi and Marco Muttoni
How to decide upon groceries daily and what this has to do with time-varying optimisation problems - by Xian Li
Mitigating the detrimental effect of AI on the power grid - by Jethusan Jeyaruban
How to increase the transmission capacity of the electric power grid efficiently and economically - by Samuel Renggli
Decision making for cascading uncertainty - by Mengmeng Li