For uncertainty quantification of complex models with high-dimensional, nonlinear, multi-
component coupling like digital twins, traditional statistical sampling methods, such as …

The growing penetration of renewable energy sources (RES) increases the uncertainties in
the operation and planning of power systems, which require proper probabilistic models …

In recent years, photovoltaic (PV) solar energy has played a crucial role in the global
transition toward renewable energy, contributing to 46% of the electric capacity. It has …

First-principles simulations are conducted to investigate the absorption and optoelectronic
efficacy of molybdenum–sulfur–selenium, referred to here as MoSSe, and molybdenum …

In this paper, the spatial-temporal correlation between wind turbines has been modeled.
Due to the large dimension of the problem (spatial and temporal correlation) and the number …

In this paper, a reliability-sensitive optimization approach for the provision of ancillary
services from distributed energy resources is proposed. The main focus here is on small …

A new efficient approach for time-series based probabilistic load-flow (PLF) calculations is
presented. It takes into account the interdependence of loads in the 110-kV-network for an …

In this paper, a reliability-sensitive optimization approach for the provision of ancillary
services from distributed energy resources is proposed. The main focus here is on small …