As the energy system transitions to an intelligent smart grid with a mostly renewable energy
supply, synthetic energy time series are required to facilitate the development and …

This paper presents a grid impact analysis of heavy-duty electric vehicle (EV) charging
stations. In this work, heavy-duty EVs have battery capacities high enough to provide a …

In modern distribution systems, load uncertainty can be fully captured by micro-PMUs, which
can record high-resolution data; however, in practice, micro-PMUs are installed at limited …

This paper presents a data-driven distribution system load modeling methodology targeting
quasi-static timeseries (QSTS) simulation. The proposed methodology is appropriate for …

This paper presents an extension of a previously reported discrete wavelet transform (DWT)
based load modeling methodology which targets at modeling time-series load profiles to …

The penetration of distributed energy resources (DERs) on the electric power system is
changing traditional power flow and analysis studies. DERs may cause the systems' …

The rapid increase in penetration of distributed energy resources on the electric power
distribution system has created a need for more comprehensive interconnection modeling …

This paper presents a data-driven load modeling methodology for distribution system quasi-
static time-series (QSTS) simulation considering both diversity and variability characteristics …