This study proposes a new optimal hybrid renewable energy system (HRES) arrangement,
including a photovoltaic system, wind turbine, and fuel cell, for electrifying a remote area in …

There is an increasing trend for fuel cell systems applications in electricity generation
systems instead of traditional power generation systems because of their advantages such …

In this study, an attempt is made to manage the gap between energy demand and energy
supply by predicting hydropower production, energy demand, and greenhouse gas …

Accurate design of the power system stabilizer (PSS) models is a crucial issue due to their
significant impact on the stability of power system operation. However, identifying the …

In this paper, an improved version of the particle swarm optimization algorithm is proposed
for the online tuning of power system stabilizers in a standard four-machine two-area power …

Moth search (MS) is a nature-inspired metaheuristic optimization algorithm based on the
most representative characteristics of moths, Lévy flights and phototaxis. Phototaxis signifies …

A novel hybrid algorithm developed by merging atom search optimization and simulated
annealing algorithms is presented. The constructed improved algorithm, named as improved …

Power systems exhibit nonlinearity. causing dynamic instability and complex power
oscillations. This research proposes an innovative strategy using the Novel Bat Algorithm …

Nano zero-valent iron (nZVI), bimetallic nano zero-valent iron-copper (Fe 0–Cu), and fava
bean activated carbon-supported bimetallic nano zero-valent iron-copper (AC-Fe 0-Cu) are …

In this paper, a white-Box support vector machine (SVM) framework and its swarm-based
optimization is presented for supervision of toothed milling cutter through characterization of …