The prediction of wind speed is imperative nowadays due to the increased and effective generation power. Wind power clean, free conservative renewable energy. It necessary predict speed, implement generation. This paper proposes a new model, named WT-GWO-BPNN, by integrating Wavelet Transform (WT), Back Propagation Neural Network (BPNN) Grey Wolf Optimization (GWO). wavelet transform adopted de...

Abstract In breast cancer image analysis, reliable segmentation of the nuclei is still an open-ended research problem. this paper, a new clustering-based method presented. First, proposed pre-processes histopathology through SLIC method. Then, novel variant multi-objective grey wolf optimizer employed to group obtained super-pixels into optimal clusters. Lastly, cluster with minimum value segme...

In this work, we have developed two new intelligent maximum power point tracking (MPPT) techniques for photovoltaic (PV) solar systems. To optimize the PWM duty cycle driving DC/DC boost converter, used optimization algorithms namely whale algorithm (WOA) and grey wolf (GWO) so can tune PID controller gains. The oscillation around MPP fail accuracy under fast variable isolation are among well-k...

Due to the importance of beamforming in improving communication systems performance, this paper presents a novel study planar antenna arrays (PAAs) utilizing Improved Grey Wolf Optimization (I-GWO) algorithm with goal minimizing peak sidelobe level (PSLL). It is very important suppress (SLL) because it minimizes interference and received noise. A two-dimensional (2D) optimization method present...

Natural gas plays an important role in industry as a clean energy, with the intensification of Russia-Ukraine war, there is large-scale energy shortage Europe, and natural supply Europe has crisis due to cut-off Nord Stream No.1 pipeline. Therefore, it necessary accurately predict consumption gas. In order fulfill this requirement, paper uses Lagrangian Support Vector Regression model Sorensen ...

The enhancement of photovoltaic (PV) energy systems relies on an accurate PV model. Researchers have made significant efforts to extract parameters due their nonlinear characteristics the system, and lake information from manufactures’ system datasheet. estimation using optimization algorithms is a challenging problem in which wide range research has been conducted. idea behind this challenge s...

Localization is crucial to wireless sensor networks. Among the recently proposed localization algorithms, mobile anchor-assisted (MAL) algorithm seems promising. A MAL using a single anchor has low energy consumption but high error. Conversely, with three or more anchors minor errors consumption. By balancing and accuracy, our study developed assisted by two anchors. traverses network along dou...

Whale Optimization Algorithm (WOA) and Grey Wolf Optimizer (GWO) are well-perform metaheuristic algorithms used by various researchers in solving feature selection problems. Yet, the slow convergence speed issue could demote performance of classification accuracy. Therefore, to overcome this issue, a modified WOA (mWOA) GWO (mGWO) for wrapper-based were proposed study. The mWOA mGWO given new i...

The efficiency of a photovoltaic (PV) system under partial shading conditions (PSCs) is primarily determined by how the PV panels are connected to load. Various architectures have been developed improve power processing capability and thus conversion efficiency. In this article, central string architecture considered, performance characteristics obtained using optimization techniques such as gr...