ABSTRACT: The Rectified Linear Unit (ReLU) activation function is widely employed in deep learning (DL). ReLU shares structural similarities with censored regression and Tobit models common in ...
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) ...
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, ...
A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...
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 ...
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 ...
Abstract: Photovoltaic systems must be highly efficient to transfer the electric power generated to the local loads or to the electrical grid. In partial-shading conditions there are multiple local ...
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