Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Monash University
- ;
- DAAD
- ; University of Birmingham
- Purdue University
- Susquehanna International Group
- University of Nottingham
- University of Southern Denmark
- ; Brunel University London
- ; University of Cambridge
- ; University of Nottingham
- ; University of Warwick
- Curtin University
- Ghent University
- Max Planck Institute for Biogeochemistry, Jena
- Max Planck Institute for Demographic Research (MPIDR)
- Norwegian Meteorological Institute
- Radboud University
- The University of Auckland
- The University of Newcastle
- University of Adelaide
- University of California, Santa Cruz
- University of Cambridge
- University of Southern Queensland
- Wageningen University and Research Center
- 15 more »
- « less
-
Field
-
such that non-credible contingency event impacts can be assessed presents many challenges including: Redispatch of network to reflect future forecast of demand and generation Modelling of future network
-
mycotoxins in grain and tools for forecasting and mitigating its occurrence. The Department of Botany and Plant Pathology has a diverse and creative faculty that conducts research in weed science, plant
-
limited to: Enhancing Small-Signal Stability in Inverter-Dominated Grids, Examining the effectiveness and uptake of electricity pricing mechanisms, Forecasting the future of indoor air, Role of storage in
-
experimental and simulation data. Use machine learning techniques to identify trends, forecast behavior, and optimize performance metrics in PtX systems. Publish Research Findings: Disseminate research outcomes
-
the use of large data sets for illness ‘near forecasting’, support for improved immunisation strategy and non-pharmaceutical interventions (e.g. mask wearing), and direct observation of population and
-
models that can forecast the likely outcomes of current practices. The project aims to develop cutting-edge machine learning and statistical risk prediction techniques to predict each short-term, long-term
-
social impacts of climate change, the develop seasonal forecasts and their application across sectors. Additional information For more information, please do not hesitate to contact Prof. Pieter De Frenne