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September 10, 2025EnergiesOpen Access

Flexible Demand Side Management in Smart Cities: Integrating Diverse User Profiles and Multiple Objectives

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Authors

NSNuno Souza e SilvaPFPaulo Ferrão

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Overview

Observational analysis shows significant cost savings and reduction in CO2 emissions, highlighting effectiveness of multi-objective optimization.

Key Points

  • Cost savings may reach 20% for industrial applications, improving energy efficiency and user satisfaction.
  • Multi-objective optimization, using NSGA-II, minimizes both CO2 emissions and user discomfort in diverse sectors.
  • Genetic algorithms effectively schedule appliance operations to reduce total energy costs under Time-of-Use pricing.
  • The study uses detailed metrics to disaggregate the impacts on costs, emissions, and user discomfort across appliance categories.

Cite This Study

Silva et al. (2025) studied this question.

synapsesocial.com/papers/68c1b18554b1d3bfb60e83b7https://doi.org/10.3390/en18154107
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