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October 1, 2025International Journal of Engineering Science and Information Technology

Algorithms and Modeling for Optimizing Sustainable Energy Systems

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Authors

MMMohammed Abdul Jaleel MaktoofASA. A. ShakerHNHamdi Abdullah Nayef

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Overview

This paper demonstrates a framework optimizing hybrid solar-wind energy, improving efficiency and reliability.

Key Points

  • The optimized hybrid system increases energy production by up to 32%, highlighting the effectiveness of integrated solutions.
  • Utilizing machine learning for load forecasting, the approach achieves a significant energy efficiency of 92.3%, underscoring potential savings.
  • The comparative analysis shows reduced operational costs by over 36%, indicating economic viability for large-scale implementation.
  • With enhanced predictive fault handling, system reliability improved significantly, achieving 97.6% availability and decreasing failures.

Cite This Study

Maktoof et al. (2025) studied this question.

synapsesocial.com/papers/68dd953bfe798ba2fc49994fhttps://doi.org/10.52088/ijesty.v5i1.1457
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