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<p>This research introduces a novel approach to intelligent home ventilation systems that reduces energy consumption by employing a cloud-based deep fuzzy control architecture integrated with renewable energy sources. The primary goal is to develop a cloud-based cooling mechanism that optimizes energy efficiency while maintaining high indoor comfort. A significant challenge in this area is the lack of studies that combine renewable energy sources with residential cooling management systems. This research addresses this gap by utilizing solar energy, in conjunction with environmental factors such as occupancy, temperature, and humidity, to dynamically regulate cooling power. Results suggest that the proposed method can reduce energy consumption by up to 30% without compromising comfort, demonstrating the effective utilization of renewable energy sources.</p>

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Smart grid simulation & modeling for innovative home control: cloud-based fuzzy control design

  • 期刊论文

  • 发表日期：

    2025年12月4日

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  • S. S. Sivaraju,
  • T. Anuradha,
  • K. Balan,
  • P. Selvabharathi,
  • V Mani,
  • M Srinivasan

摘要

This research introduces a novel approach to intelligent home ventilation systems that reduces energy consumption by employing a cloud-based deep fuzzy control architecture integrated with renewable energy sources. The primary goal is to develop a cloud-based cooling mechanism that optimizes energy efficiency while maintaining high indoor comfort. A significant challenge in this area is the lack of studies that combine renewable energy sources with residential cooling management systems. This research addresses this gap by utilizing solar energy, in conjunction with environmental factors such as occupancy, temperature, and humidity, to dynamically regulate cooling power. Results suggest that the proposed method can reduce energy consumption by up to 30% without compromising comfort, demonstrating the effective utilization of renewable energy sources.