4 papers
Optimal Forecast Reconciliation with Uncertainty Quantification
Jan Kloppenborg Møller, Peter Nystrup, Poul G. Hjorth +1
We propose to estimate the weight matrix used for forecast reconciliation as parameters in a general linear model in order to quantify its uncertainty. This implies that forecast r…
Nash Equilibrium of Joint Day-ahead Electricity Markets and Forward Contracts in Congested Power Systems
Mohsen Banaei, Majid Oloomi Buygi, Hani Raouf-Sheybani +2
Uncertainty in the output power of large-scale wind power plants (WPPs) can face the electricity market players with undesirable profit variations. Market players can hedge themsel…
Structural hierarchical learning for energy networks
Julien Leprince, Waqas Khan, Henrik Madsen +2
Many sectors nowadays require accurate and coherent predictions across their organization to effectively operate. Otherwise, decision-makers would be planning using disparate views…
Load Forecasting of Supermarket Refrigeration
Lisa Buth Rasmussen, Peder Bacher, Henrik Madsen +3
This paper presents a study of models for forecasting the electrical load for supermarket refrigeration. The data used for building the models consists of load measurements, local…