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An Artificial Intelligence-Driven Smart Home Towards Energy Efficiency: An Overview and Conceptual Model

Attique Ur Rehman, Shafiqur Rahman Tito, Daud Ahmed, Pieter Nieuwoudt, Tek Tjing Lie, Brice Vallès

202033 citationsDOI

Abstract

Artificial intelligence (AI) has received immense attention from the research community and the industry, leading to AI being adopted in many real-world applications. The growing trend of deploying AI has dramatically changed the ergonomics of modern-day practices in many realms, including smart homes, healthcare, insurance, investment and banking, social services, infrastructure, and marketing. A smart home, often referred to as an intelligent home, comprises smart technologies supported by AI. In this context, this paper presents a comprehensive overview of the existing state of the art on AI applications in the context of energy-efficient smart homes. This paper also proposes a conceptual model for AI-driven smart home aiming to enhance the users' comfort and energy efficiency phenomenon. Moreover, a brief overview of different AI techniques employed in energy efficiency applications is also part of this work. The presented conceptual model will significantly facilitate future research regarding smart homes in the context of energy efficiency.

Topics & Concepts

Context (archaeology)Efficient energy useComputer scienceAmbient intelligenceHome automationConceptual frameworkSmart gridConceptual modelSmart cityData scienceKnowledge managementRisk analysis (engineering)Computer securityEngineeringArtificial intelligenceTelecommunicationsBusinessInternet of ThingsPhilosophyDatabasePaleontologyElectrical engineeringEpistemologyBiologySmart Grid Energy ManagementIoT and Edge/Fog ComputingContext-Aware Activity Recognition Systems