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September 17, 2025Bilad Alrafidain Journal for Engineering Science and TechnologyOpen Access

An Effective Prediction of Power Consumption Using Deep Learning Models

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Authors

NMNada MohammdBahçeşehir University

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Implication

This analysis demonstrates the hybrid model improves prediction accuracy in energy management systems, indicating deep learning's potential.

Key Points

  • The hybrid model achieved a mean squared error of 0.42548, suggesting significant prediction accuracy.
  • Compared to standalone models, the hybrid model combining CNN and LSTM outperformed with lower error metrics.
  • This study uses various deep learning models to predict power consumption based on a year-long dataset from Tetouan, Morocco.
  • Incorporating recurrent and convolutional structures may enhance performance in predicting complex energy consumption data.

Cite This Study

Nada Mohammd (2025) studied this question.

synapsesocial.com/papers/68d45e4e31b076d99fa5e551https://doi.org/10.56990/bajest/2025.040203
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