Explanatory AI for Phenotype Prediction Phase I SBIR (Final Report)
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Artificial intelligence provides a convenient route for power grid stability assessment. Compared with simulation-based approaches, artificial intelligence can potentially save time on model development and numerical computation in stability assessment. This paper first reviewed existing literature on using artificial intelligence for power grid stability assessment. Then a machine-leaning-based tool is presented and developed to assess power grid transient stability, frequency stability, and small-signal stability. Test results verified the accuracy and effectiveness of the artificial intelligence tool for power grid stability assessment.
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Explore the source record for details and available documents.
Explore the source record for details and available documents.
Explore the source record for details and available documents.