The big data sources in smart grid (SG) enable utilities to monitor, control, and manage the
energy system effectively, which is also promising to advance the efficiency, reliability, and …

Non-technical losses refer to all electricity consumption not billed and represent a significant
problem that has consequences to all sectors and a substantial negative impact on some …

Demand Response (DR) has gained popularity in recent years as a practical strategy to
increase the sustainability of energy systems while reducing associated costs. Despite this …

Electricity theft has been a growing concern for the smart grid. It can be defined as follows:
illegal customers use energy from electric utilities without a contract or manipulate their …

The connectivity and intelligence of Internet of Things (IoT) equipment offer improved
services, but several technical challenges have emerged in recent years that hinder the …

Dynamic distribution network reconfiguration (DNR) algorithms perform hourly status
changes of remotely controllable switches to improve distribution system performance. The …

Inspired by the powerful feature extraction and the data reconstruction ability of
autoencoder, a stacked sparse denoising autoencoder is developed for electricity theft …

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 …

Emerging distribution systems are experiencing large proliferation of smart meters.
However, many groups have expressed reluctance in implementing the idea of smart …

The highly penetrated distributed generators (DGs) aggravate the voltage violations in active
distribution networks (ADNs). The coordination of various regulation devices such as on …