A Top-Down Spatially Resolved Electrical Load Model

A Top-Down Spatially Resolved Electrical Load Model

The increasing deployment of variable renewable energy sources (VRES) is changing the source regime in the electrical energy sector. However, VRES feed-in from wind turbines and photovoltaic systems is dependent on the weather and only partially predictable. As a result, existing energy sector models must be re-evaluated and adjusted as necessary. In long-term forecast models, the expansion of ...

A Top-Down Model for Neuronal Synchronization

Spatially-Resolved Top-down Proteomics Bridged to MALDI MS Imaging Reveals the Molecular Physiome of Brain Regions*

Tissue spatially-resolved proteomics was performed on 3 brain regions, leading to the characterization of 123 reference proteins. Moreover, 8 alternative proteins from alternative open reading frames (AltORF) were identified. Some proteins display specific post-translational modification profiles or truncation linked to the brain regions and their functions. Systems biology analysis performed o...

Pupil dilation reveals top-down attentional load during spatial monitoring.

It has long been known that the diameter of human pupil enlarges with increasing effort during the execution of a task. This has been observed not only for purely mechanical effort but also for mental effort, as for example the computation of arithmetic problems with different levels of difficulty. Here we show that pupil dilation reflects changes in visuospatial awareness induced by attentiona...

Generation of Domestic Load Profiles - an Adaptive Top-Down Approach

In this paper a top-down approach to generating load profiles of end-consumers is described. The focus is on small consumers connected to the low voltage (LV) grid, e.g. a single household. The algorithm is based on either given measurements or synthetically generated bottom-up load profiles as well as a known average load profile. The data are statistically analysed and described in cumulative...