Abstract Intelligent Energy Networks are comprised of devices capable of fulfilling their
functions in an energy-efficient fashion and with communication and remote control …

The smart metering and communication methods used in smart grid are being extensively
studied owing to widespread applications of smart grid. Although the monitoring and control …

The development of the smart grid requires new monitoring systems able to support
automation functionalities to control distributed energy resources. A real-time distribution …

State estimation has a special role in the real-time control and monitoring of smart
distribution networks. State estimation process is typically based on network topology and …

Energy consumption has increased over the years, and, due to the dependency on fossil
energy, alternative and renewable energy sources have been integrated to address …

Distribution grids must be regularly updated to meet the global electricity demand. Some of
these updates result in fundamental changes to the structure of the grid network. Some …

Clustering is a well-recognized data mining technique which enables the determination of
underlying patterns in datasets. In electric power systems, it has been traditionally utilized for …

The unabated growth in global energy demand since the advent of the 21st-century call for
augmented electrical power grids as a network of smart grids. The key components which …

In the context of smart grids, Distribution Systems State Estimation (DSSE) is notoriously
problematic because of the scarcity of available measurement points and the lack of real …

In this paper, an innovative approach based on an artificial neural network (ANN) load
forecasting model to improve the distribution system state estimation accuracy is proposed …