An IoT-based real-time smart metering deployment for grid optimization: A case study of GEPCO, Pakistan. [PDF]
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This review and analysis evaluate the benefits of LIB‐powered EVs on emission reduction of both CO2 and air pollutants. The raw materials of LIBs face low supply risks as the cathodes switch to low‐cobalt scenarios. Proper management of EV charging can mitigate its negative impact and even contribute to the stability and resilience of the power grid ...
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ANN-augmented adaptive droop/PI control for residential hybrid microgrids with IoT monitoring. [PDF]
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Novel machine learning approach for enhanced smart grid power use and price prediction using advanced shark Smell-Tuned flexible support vector machine. [PDF]
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Dynamic pricing scheme for energy balancing in microgrid using an intelligent system. [PDF]
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PrivEdge: a hybrid split-federated learning framework for real-time electricity theft detection on edge nodes. [PDF]
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Blockchain and bio-inspired deep learning for energy-efficient EV-to-grid optimization. [PDF]
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A collaborative multi-party encryption for mitigating man-in-the-middle attacks in smart grid and energy IoT systems. [PDF]
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