61 citations · 206 across the 26 of their papers we have counts for
4 papers · 1 filter
Multivariate Scenario Generation of Day-Ahead Electricity Prices using Normalizing Flows
Hannes Hilger, Dirk Witthaut, Manuel Dahmen +3
Trading on the day-ahead electricity markets requires accurate information about the realization of electricity prices and the uncertainty attached to the predictions. Deriving acc…
Probabilistic Forecasting of Day-Ahead Electricity Prices and their Volatility with LSTMs
Julius Trebbien, Sebastian Pütz, Benjamin Schäfer +3
Accurate forecasts of electricity prices are crucial for the management of electric power systems and the development of smart applications. European electricity prices have risen…
Understanding electricity prices beyond the merit order principle using explainable AI
Julius Trebbien, Leonardo Rydin Gorjão, Aaron Praktiknjo +2
Electricity prices in liberalized markets are determined by the supply and demand for electric power, which are in turn driven by various external influences that vary strongly in…
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…