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Application of Deep Neural Networks for Fault Detection in Modern Power Systems

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Modern power systems are facing complexities due to the extensive integration of renewable energy sources (RES). This integration introduces significant operational and protection challenges, primarily stemming from diverse power flow patterns and the continuous expansion of power transmission networks. To address these issues, it is necessary to have innovative and efficient solutions. In addition, the increasing availability of data and advancements in Artificial Intelligence (AI) present a timely opportunity to leverage AI approaches, especially in improving fault location detection and fault classification.

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