Large amounts of data are increasingly accumulated in the energy sector with the
continuous application of sensors, wireless transmission, network communication, and cloud …

The primary objective of Economic Load Dispatch (ELD) is to determine the most efficient
distribution of power among generating units while considering various constraints, such as …

This paper proposes a hybridized version of the Harris Hawks Optimizer (HHO) with
adaptive-hill-climbing optimizer to tackle economic load dispatch (ELD) problems. ELD is an …

In this paper a novel time varying acceleration coefficients particle swarm optimization
(TVAC-PSO) algorithm is implemented to solve combined heat and power economic …

In this article, a new metaheuristic optimization algorithm is introduced. This algorithm is
based on the ability of shark, as a superior hunter in the nature, for finding prey, which is …

Power system applications often require solving one or multiple optimization problems
which are nonlinear. Due to the limitations such as dimensionality constraints and slow …

Recent blackouts around the world question the reliability of conventional and adaptive load
shedding techniques in avoiding such power outages. To address this issue, reliable …

The economic load dispatch (ELD) problems considering nonlinear characteristics such as
valve point effects (VPE), multiple fuels (MF), transmission network losses, ramp rate limits …

This paper presents a novel heuristic algorithm for solving economic dispatch (ED)
problems, by employing iteration particle swarm optimization with time varying acceleration …

A number of modern metaheuristic optimization techniques are being exploited to work out a
single-objective economic dispatch (ED) problem. The dispatch problems even become …