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Continuous estimation of power system inertia using convolutional neural networks

Engineering and Technology

Continuous estimation of power system inertia using convolutional neural networks

D. Linaro, F. Bizzarri, et al.

This groundbreaking research conducted by Daniele Linaro, Federico Bizzarri, Davide del Giudice, Cosimo Pisani, Giorgio M. Giannuzzi, Samuele Grillo, and Angelo M. Brambilla proposes a revolutionary framework for continuously estimating inertia in power systems using advanced convolutional neural networks. Explore how AI aids in revealing crucial spectral signatures that ensure network stability in the era of renewable energy integration!

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