A firefly-inspired AI framework makes atomic structure prediction more robust by combining multimodal search with an uncertainty-aware machine learning technique. The method improves efficiency for ...
Gartner predicted traditional search volume will drop 25% this year as users shift to AI-powered answer engines. Google’s AI Overviews now reach more than 2 billion monthly users, ChatGPT serves 800 ...
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 ...
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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 ...
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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