Environmental models are used extensively to evaluate the effectiveness of a range of
design, planning, operational, management and policy options. However, the number of …

Power electronic converter (PEC)-interfaced renewable energy generators (REGs) are
increasingly being integrated to the power grid. With the high renewable power penetration …

This study presents a novel physics-based metaheuristic algorithm called Kepler
optimization algorithm (KOA), inspired by Kepler's laws of planetary motion to predict the …

Nowadays, the design of optimization algorithms is very popular to solve problems in
various scientific fields. The optimization algorithms usually inspired by the natural …

In this paper, a novel population-based, nature-inspired optimization paradigm is proposed,
which is called Harris Hawks Optimizer (HHO). The main inspiration of HHO is the …

Solar energy is a sustainable and inexhaustible renewable energy. Solar-powered PV
systems contribute to the cleanest and the most cost-effective electrical energy. However, PV …

Metaheuristics are widely recognized as efficient approaches for many hard optimization
problems. This paper provides a survey of some of the main metaheuristics. It outlines the …

The hybrid renewable energy system (HRES) has been presented as the most studied
solution for improving the sustainability of energy production infrastructures in isolated …

The penetration of renewable distributed generation (DG) sources has been increased in
active distribution networks due to their unique advantages. However, non-dispatchable …

Energy resources are an irreplaceable life resource in the current world, with the use and
management of these an important indicator of development. In parallel to the developing …