Advanced electronic measuring devices, targeted at measuring power consumption, is replacing the older electro-mechanical metering devices. These devices, abbreviated AMS devices, are considered a significant infrastructure ...

Grey-box models are data-driven models where the structure is defined by the physics while the parameters are calibrated using data. Low-order grey-box models of the building envelope are typically used for two main ...

Digitization may provide increased access to and more efficient use of real-time and historical data, internally as well as externally in an organization. However, when information from industrial control systems (ICS) ...

A direct data-driven strategy for snake-robot locomotion control is proposed in this paper. The approach leads to a time-varying state feedback controller with robustness guarantees. Instead of relying on exact model ...

Data-driven modeling has experienced an enormous increase in popularity recent years due to the ever-growing data abundance, access to cheap computational resources and great advances in algorithms and methodology. This ...

I 2015 underskrev 196 land klimaavtalen i Paris, med intensjonen om å holde den globale temperaturøkningen under 2 grader. To hovedtiltak som må tas for å nå dette målet er: mer energi produsert fra fornybare kilder og ...

We propose a novel dynamical model for describing muscular fatigue and cramping following repeated muscular contractions in the case of female Kegel exercising. The proposed compartmental model adds opportune parameters ...

This paper proposes individualized, dynamical and data-driven models to describe pelvic floor muscle responses in women undergoing vaginal dilation. Specifically, the models describe how the aggregated pressure exerted by ...

In this article, we introduce a modular hybrid analysis and modeling (HAM) approach to account for hidden physics in reduced order modeling (ROM) of parameterized systems relevant to fluid dynamics. The hybrid ROM framework ...