Artificial intelligence with IoT for energy efficiency in buildings

Abstract

Observing the electricity consumption nowadays may be extremely daunting; therefore, optimizing the consumers' usage is critical to ensuring the sustainability of energy resources. The employment of innovative technologies (e.g., artificial intelligence (AI) and Internet of things (IoT)) to boost energy efficiency in houses or buildings is becoming more and more vital to support the sustainability and preservation 234of resources. This chapter sheds light on the application of AI and IoT in improving residential energy efficiency by advancing state-of-the-art, evidence-based, AI-enabled energy efficiency recommendation systems (RSs). The framework makes use of AI and micro-moments concept and utilizes a variety of IoT sensors strategically positioned throughout the house to transform any habit according to the habit loop, where the end-user has to go through a cue, a routine and a reward. A RS is adopted in this change cycle since it relates the action to the reward and, hence, reinforces the new routine, where notifications are sent to users via the Home-Assistant 1 app with the energy-saving advice. In order to evaluate our energy-saving framework, a mini-pilot is initiated with a number of users with distinct electrical perspectives (up to 10 users) in various locations. The study's findings determine the impact of AI, IoT and RSs on energy efficiency. 2023 Anshul Verma, Pradeepika Verma, Yousef Farhaoui and Zhihan Lv.