Abstract: Firefly Optimization Algorithm (FA) is a novel heuristic stochastic algorithm based on swarm intelligence, which is inspired by the fireflies' biochemical and collective behavior. But for ...

Abstract: Partial shading conditions (PSC) in photovoltaic (PV) systems create multiple peaks in the power-voltage (P-V) curve, complicating the identification of the global maximum power point (GMPP) ...

ABSTRACT: The increasing energy demand and initiatives to lower carbon emissions have elevated the significance of renewable energy sources. Photovoltaic (PV) systems are pivotal in converting solar ...

In this review, we dive into the latest MPPT (Maximum Power Point Tracking) technology to see if it's a true game changer for solar power systems. With improved efficiency, better energy harvesting, ...

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ABSTRACT: Multi-objective optimization remains a significant and realistic problem in engineering. A trade-off among conflicting objectives subject to equality and inequality constraints is known as ...

Researchers in the Middle East have developed a fuzzy logic controller that simultaneously optimizes the tilt angle of PV systems and performs maximum power point tracking (MPPT). Year-long ...

Want your business to show up in Google’s AI-driven results? The same principles that help you rank in Google Search still matter – but AI introduces new dimensions of context, reputation, and ...

Bio-inspired computational methods have gained popularity recently. These methods mimic the seemingly complex behavior of organisms to tackle difficult and often overwhelming problems. For example, ...

A team of scientists led by researchers from Pakistan’s Abdul Latif University has developed a maximum power point tracking (MPPT) algorithm that uses a grey wolf optimizer (GWO) under realistic ...