10 citations · 13 across the 2 of their papers we have counts for
3 papers · 1 filter
Electricity Load Forecasting -- An Evaluation of Simple 1D-CNN Network Structures
Christian Lang, Florian Steinborn, Oliver Steffens +1
This paper presents a convolutional neural network (CNN) which can be used for forecasting electricity load profiles 36 hours into the future. In contrast to well established CNN a…
Decomposing Temperature Time Series with Non-Negative Matrix Factorization
Peter Weiderer, Ana Maria Tomé, Elmar Wolfgang Lang
During the fabrication of casting parts sensor data is typically automatically recorded and accumulated for process monitoring and defect diagnosis. As casting is a thermal process…
A constrained ICA-EMD Model for Group Level fMRI Analysis
Simon Wein, Ana Maria Tomé, Markus Goldhacker +2
Independent component analysis (ICA), as a data driven method, has shown to be a powerful tool for functional magnetic resonance imaging (fMRI) data analysis. One drawback of this…