International Journal of Intelligent Data and Machine Learning

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International Journal of Intelligent Data and Machine Learning

Article Details Page

OPTIMIZED POWER MANAGEMENT IN RESIDENTIAL SYSTEMS: AN IOT-DRIVEN APPROACH

Authors

  • Engr. Mohammed Al-Farsi Department of Computer Engineering, Sultan Qaboos University, Muscat, Oman
  • Fatima Al Mansoori Department of Electrical and Computer Engineering, Khalifa University, Abu Dhabi, United Arab Emirates
  • Ahmed Zaki El-Sayed Smart Systems Research Centre, University of Sharjah, Sharjah, United Arab Emirates

DOI:

https://doi.org/10.55640/

Keywords:

IoT-based power management, smart home energy systems, residential energy optimization

Abstract

The proliferation of the Internet of Things (IoT) presents significant opportunities for enhancing the efficiency and control of residential electrical systems. This article explores the integration of IoT technology for comprehensive power monitoring and control in homes, aiming to reduce energy waste, improve fault detection, and enable remote management. Traditional home electrical systems, while foundational, often lack the granularity and real-time feedback necessary for optimal energy utilization. By leveraging IoT devices, such as sensors and smart controllers, homeowners can gain unprecedented insights into their power consumption patterns and exercise dynamic control over connected appliances and circuits. This paper discusses the architectural considerations, key components, and potential benefits of deploying an IoT-enabled power management system, highlighting its role in fostering energy sustainability and smart living.

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Published

2024-12-21

How to Cite

OPTIMIZED POWER MANAGEMENT IN RESIDENTIAL SYSTEMS: AN IOT-DRIVEN APPROACH. (2024). International Journal of Intelligent Data and Machine Learning, 1(01), 23-28. https://doi.org/10.55640/

How to Cite

OPTIMIZED POWER MANAGEMENT IN RESIDENTIAL SYSTEMS: AN IOT-DRIVEN APPROACH. (2024). International Journal of Intelligent Data and Machine Learning, 1(01), 23-28. https://doi.org/10.55640/

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