Sort by
Refine Your Search
-
Listed
-
Country
-
Program
-
Employer
- Nanyang Technological University
- Argonne
- CNRS
- European Space Agency
- FUNDACIO INSTITU DE RECERCA EN ENERGIA DE CATALUNYA
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Oak Ridge National Laboratory
- Technical University of Munich
- Stony Brook University
- UNIVERSITY OF HELSINKI
- AALTO UNIVERSITY
- Monash University
- University of Bergen
- University of British Columbia
- University of Cincinnati
- University of Luxembourg
- University of Washington
- Brookhaven Lab
- Brookhaven National Laboratory
- CSIRO
- Curtin University
- Dana-Farber Cancer Institute
- ETH Zürich
- Ecole Centrale de Lyon
- FUNDACIÓN CANARIA PARQUE CIENTÍFICO TECNOLÓGICO
- Fundacion IMDEA Energia
- Heriot Watt University
- Imperial College London
- Instituto Pedro Nunes
- Lawrence Berkeley National Laboratory
- Nantes Université
- National Aeronautics and Space Administration (NASA)
- Nature Careers
- Singapore Institute of Technology
- Technical University of Denmark
- The University of British Columbia (UBC)
- UNIVERSITY OF SOUTHAMPTON
- UNIVERSITY OF VIENNA
- UiT The Arctic University of Norway
- Universidad de Alicante
- Universitatea Maritimă din Constanța
- University of Antwerp
- University of California
- University of Dayton
- University of Oslo
- University of Trás-os-Montes and Alto Douro
- University of Turku
- Université Grenoble Alpes
- Vrije Universiteit Brussel
- Wageningen University & Research
- Wageningen University and Research Center
- Yale University
- 42 more »
- « less
-
Field
-
). Modelling of electrical distribution networks with VPPs and development of grid ancillary services. Implementation and proof of concept of the control algorithms in a Power HIL environment (Smart Energy
-
wide range of resources and is mostly not publicly available. While sharing proprietary data to train machine learning models is not an option, training models on multiple distributed data sources
-
is concerned with the mathematical problem of comparing and interpolating distributions of mass, for example probability distributions. The concept has lately gained increasing interest from
-
the adaptation and improvement of the algorithms required for the aggregation and provision of flexibility to the grid, the optimized management of an energy community, and the intelligent operation and demand
-
for transmission or distribution grids, synchronous generators, large loads, transmission networks, etc. Develop simulation algorithms that enable large-scale simulations. Integrate (or co-simulate) grid component
-
wide range of resources and is mostly not publicly available. While sharing proprietary data to train machine learning models is not an option, training models on multiple distributed data sources
-
analysis, data science, discrete and machine learning algorithms, distributed, intelligent, and interactive systems, networks, security, and software and database systems. The department has extensive
-
trustworthy medical AI? Deep models already outperform humans on many benchmarks, yet in the clinic they remain black boxes: radiologists cannot see why an algorithm flags a lesion, and AI engineers cannot tell
-
You will join the EPSRC-funded project “Behavioural Data-Driven Coalitional Control for Buildings”, pioneering distributed, data-driven control methods enabling groups of buildings to form
-
existing tools and databases into high-throughput pipelines, and facilitate the display and the distribution of processed data. Related projects and responsibilities will include: Statistical analyses