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September 10, 2025Ultima Computing Jurnal Sistem Komputer

Long Term Prediction of Extreme Weather with Long Short Term Memory (LSTM) Model: Effect of Climate Change

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Authors

NPNurulita purnama PutriUniversity Health Care SystemASAdhi Harmoko SaputroUniversity of Indonesia

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Implication

This research finds LSTM predicts extreme weather accurately in historical climate data, suggesting potential for meteorological advancements.

Key Points

  • The LSTM model predicts extreme weather with 100% accuracy, demonstrating its effectiveness in assessing climate impacts.
  • Using various thresholds, the study achieved an RMSE of 4.24 and an MAE of 2.72%, indicative of reliable predictions.
  • Analysis involved training the LSTM and Random Forest Classifier models on historical weather data over 50 epochs.
  • Enhancing data volume and integrating more parameters may lead to improved prediction outcomes in future applications.

Cite This Study

Putri et al. (2025) studied this question.

synapsesocial.com/papers/68c1b81254b1d3bfb60ebdd0https://doi.org/10.31937/sk.v17i1.4022
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Also Consider

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  5. 5Assessing the adequacy of traditional hydrological models for climate change impact studies: A case for long-short-term memory (LSTM) neural networks2024 · 6 citations