A real-time machine learning-based methodology for short-term frequency nadir prediction in low-inertia power systems

In the modern era, electricity is vital for societal advancement, driving economic growth and essential functions. However, the landscape of power systems is swiftly changing due to the integration of renewable energy sources and the decline of traditional synchronous generation, which reduces the t...

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Bibliographic Details

Main Authors:	MJ Jiménez-Navarro, JM Riquelme-Dominguez, M Carranza-García, Francisco Gonzalez-Longatt
Format:	Default Article
Published:	2025
Subjects:	Engineering Information and computing sciences Psychology Artificial Intelligence & Image Processing Frequency nadir Low interia power systems Machine learning Prediction
Online Access:	https://hdl.handle.net/2134/31249504.v1
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