[HTML][HTML] Review of metaheuristic optimization algorithms for power systems problems
Metaheuristic optimization algorithms are tools based on mathematical concepts that are
used to solve complicated optimization issues. These algorithms are intended to locate or …
used to solve complicated optimization issues. These algorithms are intended to locate or …
A player unknown's battlegrounds ranking based optimization technique for power system optimization problem
A player unknown's battlegrounds (PUBG) ranking based optimization (PRBO) algorithm is
proposed. It is based on the ranking scheme of a popular battle royale game PUBG where …
proposed. It is based on the ranking scheme of a popular battle royale game PUBG where …
[HTML][HTML] Global optimization of economic load dispatch in large scale power systems using an enhanced social network search algorithm
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 …
distribution of power among generating units while considering various constraints, such as …
[HTML][HTML] Greenhouse gases emission reduction for electric power generation sector by efficient dispatching of thermal plants integrated with renewable systems
This research aims to contribute in developing a mathematical model for the composite
probabilistic energy emissions dispatch (CPEED) with renewable energy systems, and it …
probabilistic energy emissions dispatch (CPEED) with renewable energy systems, and it …
A dynamic optimal scheduling strategy for multi-charging scenarios of plug-in-electric vehicles over a smart grid
Green transportation has become our top priority due to the depletion of the earth's natural
resources and rising pollutant emission levels. Plug-in electric vehicles (PEVs) are seen as …
resources and rising pollutant emission levels. Plug-in electric vehicles (PEVs) are seen as …
Neuro-fuzzy and networks-based data driven model for multi-charging scenarios of plug-in-electric vehicles
In recent times, significant progress has been achieved in the domain of intelligent and eco-
friendly transportation. Electric mobility emerges as a viable and effective solution, offering …
friendly transportation. Electric mobility emerges as a viable and effective solution, offering …
Boosting kernel search optimizer with slime mould foraging behavior for combined economic emission dispatch problems
R Dong, L Sun, L Ma, AA Heidari, X Zhou… - Journal of Bionic …, 2023 - Springer
Reducing pollutant emissions from electricity production in the power system positively
impacts the control of greenhouse gas emissions. Boosting kernel search optimizer (BKSO) …
impacts the control of greenhouse gas emissions. Boosting kernel search optimizer (BKSO) …
[HTML][HTML] A developed eagle-strategy supply-demand optimizer for solving economic load dispatch problems
This article proposes a new effective technique, named eagle-strategy supply–demand
based optimization algorithm with chaotic (ESCSDO), for achieving global solutions to …
based optimization algorithm with chaotic (ESCSDO), for achieving global solutions to …
A modified Marine predators algorithm for solving single-and multi-objective combined economic emission dispatch problems
Decreasing the emission of greenhouse gases and the fuel cost are the main principles of
the combined economic emission dispatch (CEED) optimization problem. In this work, a …
the combined economic emission dispatch (CEED) optimization problem. In this work, a …
Optimizing energy consumption patterns of smart home using a developed elite evolutionary strategy artificial ecosystem optimization algorithm
In recent times, the tremendous progress in electronic devices and making them available to
all consumers has led to an increase in demand for energy, the formation of a peak, and an …
all consumers has led to an increase in demand for energy, the formation of a peak, and an …