Metaheuristic optimization techniques have successfully been used to solve the Optimal
Power Flow (OPF) problem, addressing the shortcomings of mathematical optimization …

With the development of urban and rural infrastructure, the power system is enforced to
operate nearly at its full capacity which result in heavily stressed power grid operation …

Numerous optimization problems can be addressed using metaheuristics instead of
deterministic and heuristic approaches. This study proposes a novel population-based …

Artificial rabbits optimization (ARO) is a swarm intelligence-based algorithm inspired by the
survival strategies of rabbits. Although ARO has a good convergence rate, it is prone to get …

One of the most difficult types of problems computationally is the security-constrained
optimal power flow (SCOPF), a non-convex, nonlinear, large-scale, nondeterministic …

Accurate estimation of State of Health (SOH) is crucial to ensure optimal performance and
safe operation of lithium-ion battery. This paper proposes a Stacking ensemble learning …

Owing to integrating the dense range of distinct electric power sources, high volume of
power generation units, abrupt and continuous changes in load demand, and rising …

The optimal power flow (OPF) is a key tool in the planning and operation of power systems,
and aims to optimize the operational costs involved in the production and transport of energy …

This paper delves into the increasingly complex domain of Optimal Power Flow (OPF) within
modern power systems, enhanced by the integration of unpredictable renewable energy …

Smart grid systems help increase RWJ projects (RWJ) so that environmentally friendly
energy production can be generated. However, efficient technologies should be …