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February 2, 2026Open Access

An Intelligent Energy Management System for Cost Optimization and Peak Demand Reduction Using Battery-Integrated Smart Dispatch

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Authors

EHEmon Md. Mukter HossainLamar University

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Implication

Prototype demonstrates cost savings and peak demand reduction in commercial and residential settings, suggesting efficient energy management.

Key Points

  • This research aims to develop an intelligent energy management system to optimize costs and manage peak demand efficiently.
  • Development of a prototype integrating real-time monitoring and optimized dispatch planning
  • Evaluation conducted in multiple scenarios including commercial and residential settings
  • Use of predictive analytics to inform energy decisions based on dynamic pricing and demand
  • Achieved significant reductions in peak demand during evaluated scenarios
  • Improved self-consumption rates of renewable energy sources
  • Demonstrated measurable cost savings across various energy management applications

Cite This Study

Emon Md. Mukter Hossain (2026) studied this question.

synapsesocial.com/papers/6980feeac1c9540dea811602https://doi.org/10.5281/zenodo.18444727
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