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October 2, 2025ElectricityOpen Access

A Hierarchical RNN-LSTM Model for Multi-Class Outage Prediction and Operational Optimization in Microgrids

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Authors

NLNouman LiaqatMZMuhammad ZubairAWAashir Waleed

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Overview

Machine learning demonstrates improved outage prediction in microgrids, indicating better operational efficiency.

Key Points

  • The model achieved an accuracy of 86.52% on a real-time dataset, enhancing outage detection.
  • Precision at 86% and recall at 86.20% indicate high performance in identifying outages.
  • Data preprocessing ensured effective handling of historical and real-time data for accurate predictions.
  • The approach leveraging temporal context improves operational optimization in microgrid systems.

Cite This Study

Liaqat et al. (2025) studied this question.

synapsesocial.com/papers/68de6f3f83cbc991d0a22ab5https://doi.org/10.3390/electricity6040055
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