The last decade has seen an astronomical shift from imaging with DSLR and point-and-
shoot cameras to imaging with smartphone cameras. Due to the small aperture and sensor …

The task of determining the phase connection of customers, known as phase identification,
is crucial to obtain accurate distribution system models. This paper starts with a thorough …

Enhancing the visibility in extreme low-light environments is a challenging task. Under
nearly lightless condition, existing image denoising methods could easily break down due to …

This article presents a use-inspired perspective of the opportunities and challenges in a
massively digitized power grid. It argues that the intricate interplay of data availability …

We propose to recover spectral details from RGB images of known spectral quantization by
modeling natural spectra under Gaussian Processes and combining them with the RGB …

Most of the artificial lights fluctuate in response to the grid's alternating current and exhibit
subtle variations in terms of both intensity and spectrum, providing the potential to estimate …

As the penetration rate of new energies, energy storage devices and electric vehicles
increases continuously in power grid, power grid faces strong random disturbances, as well …

Smart grid technologies and wide-spread installation of advanced metering infrastructure
(AMI) equipment present new opportunities for the use of machine learning algorithms …

High-speed cameras are an indispensable tool used for the slow-motion analysis of scenes.
The fixed bandwidth of any imaging system quickly becomes a bottleneck however, resulting …

This paper discusses common types of errors that are frequently present in utility distribution
system models and which can significantly influence distribution planning and operational …