Sort by
Refine Your Search
-
for load forecasting in scenarios where current models fall short, such as extreme weather events, grid incidents and high variability in renewable energy. You will explore techniques including graph neural
-
and validating AI models for load forecasting in scenarios where current models fall short, such as extreme weather events, grid incidents and high variability in renewable energy. You will explore
-
the theoretical framework developed on empirical data currently collected independently in the project. Examples of the approach can be found in Ecological Modelling 205: 196-208 and Ecological
-
describe ecosystem structure and functioning as a function of size and other relevant properties. You will test the theoretical framework developed on empirical data currently collected independently in