196 citations · 723 across the 27 of their papers we have counts for
3 papers · 2 filters
Validation Methods for Energy Time Series Scenarios from Deep Generative Models
Eike Cramer, Leonardo Rydin Gorjão, Alexander Mitsos +3
The design and operation of modern energy systems are heavily influenced by time-dependent and uncertain parameters, e.g., renewable electricity generation, load-demand, and electr…
Principal Component Density Estimation for Scenario Generation Using Normalizing Flows
Eike Cramer, Alexander Mitsos, Raul Tempone +1
Neural networks-based learning of the distribution of non-dispatchable renewable electricity generation from sources such as photovoltaics (PV) and wind as well as load demands has…
Using Gaussian Processes to Design Dynamic Experiments for Black-Box Model Discrimination under Uncertainty
Simon Olofsson, Eduardo S. Schultz, Adel Mhamdi +3
Diverse domains of science and engineering use parameterised mechanistic models. Engineers and scientists can often hypothesise several rival models to explain a specific process o…