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The document presents a study on a data-driven voltage forecasting method using Echo State Networks (ESNs) for future power grids, particularly in the context of integrating low-carbon technologies like solar photovoltaics and electric vehicles. The proposed ESN model effectively forecasts node voltages in real-time using smart meter data, achieving high accuracy with minimal computational time. This approach aims to enhance grid management by allowing for dynamic operating envelopes that reflect actual net

Author
ne
Language
EN

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