Objectives: To optimize the EEG signals in order to predict epileptic seizures at early stage and improve accuracy level by employing genetic algorithm machine learning methods. Methods: Virus Swarm Particle Optimization Technique (VSPO) based Genetic is utilized for purpose of feature selection Machine Learning SVM technique classification determine seizure or non-seizure. The Discrete Wavelet...

The fundamental objective of economic load dispatch is to operate the available generating units such that needed demand satisfies lowest generation cost and also complies with various constraints. With proper power system operation planning using optimized limits, it possible reduce generation. To fulfill needs objectives, can help plan electrical system. optimize problems, classical new evolu...

In the case of partial shading conditions (PSCs), normal equations cannot be completely implemented. The mathematical model Photovoltaic (PV) array needs to modified and re-established with existence bypass diodes connected PV module, which can alleviate negative effects PSCs generate several peaks on output characteristics curve. first aim this study is modify re-establish under PSCs. Second, ...

<span lang="EN-US">In this paper, a modified particle swarm optimization (MPSO) based maximum power point tracking (MPPT) controller is used to track the of PV system using DC-DC boost converter technology. </span><span lang="EN-GB">To raise module's input DC voltage, was employed. The powered DC-AC multilevel PWM inverter, which then delivered output AC voltage solitary induc...

Due to the stochastic characteristics of wind power generation and following varying demands for load consumption over a planning period, optimal reconfiguration (OR) radial distribution network (RDN) represents complex problem combinatorial nature. This paper evaluates two types searching an solution considering time-varying changes. The first one is static RDN (SRRDN) made at fixed point duri...

Designing a nanogrid involves intricate considerations. Its primary system components, including PV systems, inverter type and control, batteries, diesel generator, always offer trade-off among conflicting design objectives – the cost of electricity reliability, for example. This research proposes synergistic Parallel Multiobjective PSO-based approach (PMOPSO), merger four optimization methods ...

With the development of new energy power systems, estimation parameters photovoltaic (PV) models has become increasingly important. Weather changes are random; therefore, in PV output periodic and nonlinear. Traditional prediction methods based on linearity, relying only a time series is not feasible. Consequently, metaheuristic algorithms have received considerable attention to extract solar c...

<span>The economic dispatch is used to find the best optimal output of power generation at lowest operating cost each generator, fulfill requirements consumer. To get a practical solution, several constraints have be considered, like transmission losses, valve point effect, prohibited region, and emissions. In this research, effect considered which increases complexity problem due its rip...

A Mobile Ad hoc Network (MANET) is a group of low-power consumption wireless mobile nodes that configure network without the assistance any existing infrastructure/centralized organization. The primary aim MANETs to extend flexibility into self-directed, mobile, and domain, in which cluster autonomous forms MANET routing system. An Intrusion Detection System (IDS) tool examines for malicious be...