The system of nonlinear equations (SNLEs) is one the eminent problems in science and engineering, it still open to research. A new hybrid intelligent algorithm presented this research solve SNLEs. It a composite salp swarm (SSA) chaotic search technique (CST). proposed methodology named (CSSA). CSSA designed as an optimization process, whereby feasible infeasible solutions are updated move clos...

This paper proposes an optimal ensemble method for one-day-ahead hourly wind power forecasting. The forecasting is the most common of meteorological Several different models are combined to increase accuracy. proposed has three stages. first stage uses k-means classify generation data into five distinct categories. In second stage, single prediction models, including a K-nearest neighbors (KNN)...

Distributed Generation (DG) based on Renewable Energy Sources (RES) are considered as an effective and economical technology for the advancement of Electric Power System (EPS) to fulfill load demand. Mostly, studies pertaining DG planning performed while considering constant demand generation. However, these considerations may provide misleading inconsistent values loss reduction, voltage profi...

In the last decade, devices and appliances utilizing Internet of Things (IoT) have expanded tremendously, which has led to revolutionary developments in network industry. Smart homes cities, wearable devices, traffic monitoring, health systems, energy savings are typical IoT applications. The diversity standards, protocols, computational resources makes them vulnerable security attackers. Botne...

In this research, the optimal placement and capacity of battery energy storage systems (BESS) in distribution networks integrated with photovoltaics (PV) electric vehicles (EVs) have been proposed. The main objective function is to minimize system costs including installation, replacement, operation maintenance BESS. replacement cost has considered over 20 years while are incurred by transmissi...

This paper introduces a novel physical-inspired metaheuristic algorithm called “Light Spectrum Optimizer (LSO)” for continuous optimization problems. The inspiration the proposed is light dispersions with different angles while passing through rain droplets, causing meteorological phenomenon of colorful rainbow spectrum. In order to validate algorithm, three experiments are conducted. First, LS...

The rapid advancement of networking technology has enabled small devices to have communication capabilities, but the current decentralized system is not ideal for heterogeneous networks like vehicular networks. integration routing, switching, and decision-making capabilities in same network device limits innovation impedes performance networks, especially where topologies change frequently. To ...

Most of the medical datasets suffer from missing data, due to expense some tests or human faults while recording these tests. This issue affects performance machine learning models because values features will be missing. Therefore, there is a need for specific type methods imputing data. In this research, salp swarm algorithm (SSA) used generating and in pain my ass (also known Pima) Indian di...