Sort by
Refine Your Search
-
Employer
- Eindhoven University of Technology (TU/e)
- Delft University of Technology (TU Delft); today published
- Delft University of Technology (TU Delft); yesterday published
- Eindhoven University of Technology (TU/e); Published today
- Eindhoven University of Technology (TU/e); Published yesterday
- University of Twente (UT); yesterday published
- Wetsus - European centre of excellence for sustainable water technology
-
Field
-
optimization lab (EES EMPDO lab). The former focuses on intelligent energy network research, including: demand management and flexibility, digital twinning, data analytics, smart grid ICT architectures and
-
technology companies to develop solar-integrated electric buses, smart charging hubs, and advanced grid services. Within this project, the University of Twente is involved in developing multi-port, high
-
on intelligent energy network research, including: demand management and flexibility, digital twinning, data analytics, smart grid ICT architectures and systems integration in multi energy systems. The latter
-
optimization lab (EES EMPDO lab). The former focuses on intelligent energy network research, including: demand management and flexibility, digital twinning, data analytics, smart grid ICT architectures and
-
energy network research, including: demand management and flexibility, digital twinning, data analytics, smart grid ICT architectures and systems integration in multi energy systems. The latter specializes
-
Wetsus - European centre of excellence for sustainable water technology | Netherlands | 3 months ago
can be more predictable. A series of projects dedicated to inspection techniques, is being executed in the Smart Water Grids research theme. In the past, this has already led to multiple spinoff
-
electrical power, enabling smart sensors to operate without batteries. You will explore novel capacitor-based rectifier architectures, adaptive impedance-matching algorithms, and on-chip protection mechanisms
-
longer sustainable. This project pioneers a new paradigm: we design smart, low-power digital AI co-processors that learn and correct the imperfections of their analog counterparts in real-time. As a PhD