Artificial intelligence techniques lead to data-driven energy services in distribution power
systems by extracting value from the data generated by the deployed metering and sensing …

With the rapid growth of power systems measurements in terms of size and complexity,
discovering statistical patterns for a large variety of real-world applications such as …

Data related to building energy use fuels the research and applications on building energy
efficiency, which is an essential measure to address global energy and environmental …

State estimation is widely used in various automated systems, including IoT systems,
unmanned systems, robots, etc. In traditional state estimation, measurement data are …

The distribution system state estimation problem seeks to determine the network state from
available measurements. Widely used Gauss-Newton approaches are very sensitive to the …

Electricity is one of the mandatory commodities for mankind today. To address challenges
and issues in the transmission of electricity through the traditional grid, the concepts of smart …

Fault diagnosis and location play a pivotal role in expediting fault restoration and enhancing
power system resilience. However, integrating distributed generation and diverse load …

This work is a survey of current trends in applications of PMUs. PMUs have the potential to
solve major problems in the areas of power system estimation, protection, and stability. A …

This paper studies the problem of locating harmonic sources and estimating the distribution
of harmonic voltages in unbalanced three-phase power distribution systems. We develop an …

Time-synchronized state estimation for reconfigurable distribution networks is challenging
because of limited real-time observability. This article addresses this challenge by …