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March 18, 2026Results in EngineeringOpen Access

Enhancing Hybrid Renewable System Performance through Load Shifting: A Multi-Objective Optimization and Forecasting Approach

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Authors

MSMoataz Ayman ShakerIDIbrahim Mohamed DiaaeldinMAMahmoud A. Attia

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Overview

A multi-objective optimization framework enhances renewable system performance through load shifting, highlighting its benefits.

Key Points

  • The research aims to optimize cost, reliability, renewable energy utilization, and emissions in hybrid renewable energy systems.
  • Developed a multi-objective optimization model using the Mayfly Algorithm.
  • Conducted Monte Carlo simulations to analyze performance uncertainties.
  • Implemented a neural network for forecasting performance in various scenarios with and without demand-side management strategies.
  • Assessed trade-offs between different performance objectives regarding economic and environmental factors.
  • Integrating load shifting reduced the cost of energy by 3–5%.
  • Significantly decreased dumped renewable energy.
  • Cut carbon dioxide emissions by over 50% in certain scenarios.
  • Maintained high reliability in hybrid renewable systems.

Cite This Study

Shaker et al. (2026) studied this question.

synapsesocial.com/papers/69ba41e04e9516ffd37a1ddchttps://doi.org/10.1016/j.rineng.2026.110107
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