Slime Mould Algorithm (SMA) has recently received much attention from researchers
because of its simple structure, excellent optimisation capabilities, and acceptable …

Meta-heuristic algorithms have a high position among academic researchers in various
fields, such as science and engineering, in solving optimization problems. These algorithms …

The management of renewable-powered smart grids deals with nonlinear optimization
problems featuring a variety of linear or nonlinear constraints, discrete or continuous …

Agricultural carbon emission efficiency (ACEE) measurement, a tool for effectively achieving
sustainable development goals, has garnered much attention. However, the impacts of …

The paper proposes a bi-level multi-objective optimization model to optimally design and
operate renewable energy sources and storage systems in an existing electrical grid with …

Renewable energy sources like sun and wind are intermittent, hence a hybrid system
incorporating them is necessary. However, certain systems are more cost-effective and …

In this paper, photovoltaic generators (PVGs) are placed in radial distribution networks
(RDNs) for reducing active power loss of one operation day by using three recently …

The integration of new renewable power capacity into the grid constitutes an important
challenge. Control issues become more complex, and the behavior of the new installations …

Abstract Nutcracker Optimization Algorithm (NOA) is a recently proposed meta-heuristic
algorithm inspired by foraging and storing behavior of nutcracker birds. NOA demonstrates …

The present paper performs a techno-economic and an environmental analysis of an
islanded energy system based on Geothermal/Biogas/Wind/PV hybrid energy system using …