This paper provides a comprehensive and systematic review of fault localization methods
based on artificial intelligence (AI) in power distribution networks described in the literature …

Faults in the power system need appropriate maintenance actions at the fault point to fix the
problem immediately. A high percentage of the short circuit faults in power systems occur on …

Precise knowledge of faults is very exigent to reduce the outage duration as most of the
customer minute losses in distribution grids occur due to longer period of interruptions …

Electricity customers are usually connected to the power system networks through
distribution grids, and any interruption in these grids causes customer minute loss (CML) …

Precise information of fault location plays a vital role in expediting the restoration process,
after being subjected to any kind of fault in power distribution grids. This paper proposed the …

This paper proposes a Bat algorithm-based back propagation approach for solving the short-
term load forecasting considering the weather factors such as temperature and humidity …

This paper gives an analyzing study on fault detection and classification in a long
transmission line which is series compensated using artificial neural network and wavelet …

This paper proposes an approach to accurately estimate the impedance value of a high
impedance fault (HIF) and the distance from its fault location for a distribution system. Based …

The precise knowledge of fault locations is very important as longer period interruption
caused by faults are responsible for most of the customer minute losses in the distribution …

Electrical power load forecasting has at all conditions been a basic subject in the energy
trade. Load forecasting requires relative learning, reminiscent of neighborhood climate, and …