Ensemble classification and regression-recent developments, applications and future directions
Ensemble methods use multiple models to get better performance. Ensemble methods have
been used in multiple research fields such as computational intelligence, statistics and …
been used in multiple research fields such as computational intelligence, statistics and …
Optimal reactive power dispatch: a review, and a new stochastic voltage stability constrained multi‐objective model at the presence of uncertain wind power …
In this paper, a comprehensive review of recent researches carried out in the area of optimal
reactive power dispatch (ORPD) is presented. The literature review consists of a …
reactive power dispatch (ORPD) is presented. The literature review consists of a …
Optimal power flow solutions incorporating stochastic wind and solar power
Generations from several sources in an electrical network are to be optimally scheduled for
economical and efficient operation of the network. Optimal power flow problem is formulated …
economical and efficient operation of the network. Optimal power flow problem is formulated …
Economic dispatch using hybrid grey wolf optimizer
This paper presents the application of one of the latest swarm intelligence algorithms, the
grey wolf optimizer, for solving economic dispatch problems that are nonlinear, non-convex …
grey wolf optimizer, for solving economic dispatch problems that are nonlinear, non-convex …
Optimal power flow solutions using differential evolution algorithm integrated with effective constraint handling techniques
Optimal power flow (OPF) is a highly non-linear complex optimization problem where the
steady state parameters of an electrical network need to be determined for its economical …
steady state parameters of an electrical network need to be determined for its economical …
Optimal design of stand-alone hybrid PV/wind/biomass/battery energy storage system in Abu-Monqar, Egypt
The objective of smart power systems is to combine all renewable energy sources in order to
increase the electricity supply of clean energy sources. This paper proposes an optimization …
increase the electricity supply of clean energy sources. This paper proposes an optimization …
Novel mutation strategy for enhancing SHADE and LSHADE algorithms for global numerical optimization
Proposing new mutation strategies to improve the optimization performance of differential
evolution (DE) is an important research study. Therefore, the main contribution of this paper …
evolution (DE) is an important research study. Therefore, the main contribution of this paper …
Optimal reactive power dispatch with uncertainties in load demand and renewable energy sources adopting scenario-based approach
Optimizing reactive power flow in electrical network is an important aspect of system study
as the reactive power supports network voltage which needs to be maintained within …
as the reactive power supports network voltage which needs to be maintained within …
Optimal reactive power dispatch using chaotic bat algorithm
S Mugemanyi, Z Qu, FX Rugema, Y Dong… - IEEE …, 2020 - ieeexplore.ieee.org
In this paper, the chaotic bat algorithm (CBA) is applied to solve the optimal reactive power
dispatch (ORPD) problem taking into account small-scale, medium-scale and large-scale …
dispatch (ORPD) problem taking into account small-scale, medium-scale and large-scale …
Gaussian bare-bones water cycle algorithm for optimal reactive power dispatch in electrical power systems
Water cycle algorithm (WCA) is one of the efficient metaheuristic optimization algorithms
inspired by hydrological cycle in nature. WCA can outperform several robust and efficient …
inspired by hydrological cycle in nature. WCA can outperform several robust and efficient …