Enhancing Smart Home Efficiency: Overcoming Limitations of Traditional Energy Management Systems

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@article{1724840,
      author = {Meenakshi Agarwal},
      title = {Enhancing Smart Home Efficiency: Overcoming Limitations of Traditional Energy Management Systems},
      journal = {Iconic Research And Engineering Journals},
      year = {2026},
      volume = {10},
      number = {5},
      pages = {2261-2271},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1724840.pdf},
      abstract = {In smart homes, applying traditional energy management systems sometimes result in inefficiencies because they follow preset schedules. It is because of their inability to adjust to occupancy and environmental changes in real-time. In order to further optimize the energy consumption, this paper examines the limitations of such systems and presents a cutting edge internet of things (IoT)-enabled approach that makes use of real-time data analytics, decision-making driven by artificial intelligence (AI) and adaptive control mechanisms to optimize energy consumption. The potential of the proposed IoT-enabled smart energy system to enhance energy efficiency, reducing waste, and improving sustainability in smart homes has been presented.},
      keywords = {Energy management system, smart homes, Internet of Things, machine learning (ML), artificial intelligence, adaptive control, optimization},
      month = {November},
  }