Originally, ancillary services (ASs) were provided by large-scale power plants to ensure the
secure and reliable operation of power systems. However, with the advent of renewable …

Phasor measurement units (PMUs) are rapidly being deployed in electric power networks
across the globe. Wide-area measurement system (WAMS), which builds upon PMUs and …

Deep learning plays a key role in the recent developments of machine learning. This paper
develops a deep residual neural network (ResNet) for the regression of nonlinear functions …

Measurement based algorithms for estimating low-frequency electromechanical modes
serve as useful practical methods to monitor the modal properties of power system …

It is known that uncertainties in geotechnical engineering are unavoidable. Slope reliability
analysis is vital because the failure of a slope may cause great loss. In the reliability analysis …

With the rise and development of information technology (IT) services, the amount of data
generated is rapidly increasing. Data from many different places are inconsistent. Data …

Accurate information for consumer phase connectivity in a low-voltage distribution network
(LVDN) is critical for the management of line losses and the quality of customer service. The …

This paper proposes a new approach to estimate dominant mode for monitoring inter-area
oscillation in the China Southern power grid (CSG) by the use of phasor measurement units …

This study presents a simple approach to modify the Prony algorithm to extract dominant low‐
frequency modes present in ring‐down oscillations in power systems. The proposed …

This letter studies the impact of auto-correlation of stochastic processes on the dynamic
response of power systems. The frequency spectrum of the trajectories of the state variables …