Identifying statistical trends for a wide range of practical power system applications,
including sustainable energy forecasting, demand response, energy decomposition, and …

Residential load profiles (RLPs) play an increasingly important role in the optimal operation
and planning of distribution systems, particularly with the rising integration of low-carbon …

This paper presents a novel, unified approach for generating high-quality datasets for
training machine-learned models for real-time security assessment in power systems …

Given the increasing need to meet the new operational requirements of power systems and
prepare for the future, adaptation of cutting-edge Artificial Intelligence (AI) technologies in …

The energy sector's digital transformation brings mutually dependent communication and
energy infrastructure, tightening the relationship between the physical and the digital world …

Generating power system states that have similar distribution and dependency to the
historical ones is essential for the tasks of system planning and security assessment …

Non-intrusive load monitoring (NILM) is a technique used to disaggregate the total power
signal into individual appliance power signals, which plays an important role in smart grid …

As the trend in climate change continues, extreme weather events are expected to occur
with increasing frequency and severity and pose a significant threat to the electric power …

Load pattern (LP) classification provides the foundation for demand side oriented power
system operation and control research. To address the problem that the nonlinear …

Conditional variational autoencoder (CVAE) has the potential for few-sample fault diagnosis
of mechanical systems. Nevertheless, the scarcity of faulty samples leads the augmented …