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Energy Management Expert Assistant, a New Concept.

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  • 1Departamento de Ingeniería Electrónica y de Computadores, Escuela Politécnica Superior de Córdoba, Campus de Rabanales, Universidad de Córdoba, Edificio Leonardo Da Vinci, E-14071 Cordoba, Spain.

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Summary

This study introduces an expert system combining home energy management systems (HEMS) with voice assistants. The integrated system optimizes energy consumption, enhances comfort, and improves home security through AI and IoT technologies.

Keywords:
Internet of Things (IoT)Voice Assistantartificial intelligence (AI)big datahome energy management systems (HEMS)machine learning (ML)

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Area of Science:

  • Smart Home Technology
  • Artificial Intelligence
  • Energy Systems

Background:

  • Growing interest in Home Energy Management Systems (HEMS).
  • Advancements in Voice Assistants enhancing home comfort.
  • Need for integrated, intelligent home management solutions.

Purpose of the Study:

  • To present a novel integration of HEMS and Voice Assistant paradigms.
  • To develop a high-performance, easy-to-manage expert system (ES).
  • To optimize home energy consumption, comfort, and security.

Main Methods:

  • Development of an expert system (ES) merging HEMS and Assistant functionalities.
  • Utilizing an Internet of Things (IoT) platform with Artificial Intelligence (AI) and big data.
  • Modeling the system as a multi-objective optimization (MOP) problem.

Main Results:

  • Achieved optimized energy consumption levels.
  • Improved home security through presence simulation and intruder detection.
  • Enhanced user experience, comfort, and automation.
  • Demonstrated synergies and effectiveness over 24 months of operation.

Conclusions:

  • The novel ES effectively integrates HEMS and voice assistants.
  • The system offers significant improvements in energy efficiency, security, and user experience.
  • The MOP model provides a robust framework for intelligent home management.