The transmission lines are used for power distribution across large distances. Different
parameters affect the power transmission efficiency, and the quality of service. Furthermore …

Many engineering and scientific problems in the real-world boil down to optimization
problems, which are difficult to solve by using traditional methods. Meta-heuristics are …

Data clustering is a complex data mining problem that clusters a massive amount of data
objects into a predefined number of clusters; in other words, it finds symmetric and …

Over the past years, the use of renewable energy sources (RESs) has grown significantly as
a means of providing clean energy to counteract the devastating effects of climate change …

Abstract Support Vector Machine (SVM) has become one of the traditional machine learning
algorithms the most used in prediction and classification tasks. However, its behavior …

This study introduces an enhanced self-adaptive wild goose algorithm (SAWGA) for solving
economical-environmental-technical optimal power flow (OPF) problems in traditional and …

Swarm intelligence (SI) is an approach inspired by natural phenomena that have been
implemented in the optimization field. This field has rapidly increased very fast recently. The …

The parameters calculation for a transmission line is described in the proposed work, and
the estimation of transmission line parameters is essential for properly managing …

The power system incorporates renewable energy resources into the main utility grid, which
possesses low or no inertia, and these systems generate harmonics due to the utilization of …

Oil-type transformers (OTT) are used more than dry-type transformers, based on cost in the
transmission and distribution of electrical energy. Therefore, this usage density increases …