Abstract

Efficient management of residential energy consumption is a critical challenge in light of increasing demand and sustainability goals. The integration of IoT technologies with gamification shows potential to positively influence user behavior by promoting more conscious consumption practices. However, many existing solutions lack proper personalization mechanisms tailored to user profiles and contexts. This paper proposes an innovative architecture that integrates Artificial Intelligence (AI), Gamification, and the Internet of Things (IoT) to optimize energy consumption in residential environments. The proposed solution is based on a four-layer approach: intelligent monitoring, IoT-based control, AI-driven predictive analysis, and a gamified application that customizes challenges according to users' consumption profiles. The system aims to foster sustainable behavioral changes by overcoming the limitations of approaches that only combine AI-Iot or IoT-gamification. The proposal stands out for its continuous adaptability to user preferences, employing techniques such as neural networks, reinforcement learning, and collaborative filtering to enhance engagement and energy efficiency. Future work will include the implementation and comparison of this integrated architecture with existing partial solutions.

Download

Share

COinS