We design a linear state estimation technique for nonlinear systems, based on the Koopman operator framework, which allows to recover a transient state with an arbitrarily fast rate of convergence.
This talk explores key trends in micro/nanoelectronics design, covering power optimization, variability, 3D integration, and new devices. It aims to motivate the audience to tackle the field's upcoming challenges and innovations.
Automated conversions between formulations are an essential feature of optimization software. This presentation surveys current challenges and advances, with examples from a new solver interface design.
Dr. Ioannis Boukas (ENGIE, Belgium) explores AI applications in short-term power trading, optimizing batteries and wind parks. Head of Algo Trading at ENGIE, he specializes in machine learning and optimization for energy markets, with a PhD from the University of Liège.
Prof. Jochen Cremer (TUDelft) explores Deep Learning for power system reliability, focusing on N-k security-constrained power flow and real-time security assessment. An expert in AI for power systems, he leads research at Delft AI Energy Lab and the Austrian Institute of Technology.
Dr. Balthazar Donon (RTE, France) explores AI for tertiary voltage control using graph neural networks to handle real-world power system complexities. A researcher at RTE R&D, he specializes in energy and deep learning, aiming to develop AI assistants for grid operators.
This talk examines power systems' complexity and how ML can solve key challenges to accelerate decarbonization. Damien Ernst, professor at the University of Liège, is an expert in energy systems and AI, with 300+ publications, multiple awards, and industry influence.
Join Elodie Naveau and Jérémie Fays for an insightful seminar on patents and software licenses. Learn how inventions are described in patents, extract valuable information, and apply best practices to enhance research impact. A Q&A session will conclude the event.
Digitalization in electric distribution grids, driven by lower ICT costs and renewable energy integration, enhances energy management but also introduces cybersecurity challenges.
Cyberattacks harm Edge systems' performance, energy, and security. This study uses Random Neural Networks for detection and mitigation with real-world data and experiments.
Smart meters improve LVDN management but raise security concerns. Integrating GIS, SM data, and cable info enhances observability, while AI aids in tackling vulnerabilities and privacy challenges.
In this talk, Robin will present research work focussed on the incorporation of dynamics into cascading failure analysis in large power systems and the implications of considering stability as part of blackout risk quantification.
