HOME AUTOMATION BASED ON ARTIFICIAL INTELLIGENCE: STRATEGIES FOR ENERGY EFFICIENCY AND USER COMFORT

Authors

  • Alexandra Leite dos Santos de Andrade Author
  • Carlos Eduardo Calazans Câmara Author
  • Deivide Nascimento dos Santos Author
  • João Filipi Ribeiro Taveira Author
  • Kelwin Silva Author
  • Leandro dos Santos Viviani Author
  • Leticia Geovana de Lima Feijó Author
  • Uelisson Santos Sodré Author
  • Adriano dos Santos Reis Author
  • Gabriel Sena da Silva Author

DOI:

https://doi.org/10.56238/ramv20n16-014

Keywords:

Home Automation, Artificial Intelligence, Smart Homes, Energy Efficiency, Internet of Things

Abstract

Home automation based on artificial intelligence has emerged as an important technological innovation applied to smart homes. The integration of sensors, actuators, the Internet of Things (IoT), and intelligent algorithms allows for the automated control of systems such as lighting, air conditioning, security, and energy management, providing greater comfort, convenience, safety, and energy efficiency to users. Artificial intelligence enables the continuous analysis of data and behavioral patterns, allowing systems to automatically adapt to the needs of residents. In addition to the benefits related to optimizing electricity consumption and improving quality of life, home automation also presents challenges related to implementation costs, digital security, interoperability between devices, and user adaptation to new technologies. Thus, it is concluded that home automation with artificial intelligence has great potential to transform contemporary domestic environments, making them more efficient, sustainable, and intelligent.

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Published

2026-05-31

How to Cite

DE ANDRADE, Alexandra Leite dos Santos et al. HOME AUTOMATION BASED ON ARTIFICIAL INTELLIGENCE: STRATEGIES FOR ENERGY EFFICIENCY AND USER COMFORT. Revista Digital Acadêmico Mundo, [S. l.], v. 20, n. 16, p. e76 , 2026. DOI: 10.56238/ramv20n16-014. Disponível em: https://academicomundo.com.br/rdam/article/view/76. Acesso em: 2 jun. 2026.