O uso de internet das coisas e planejamento automatizado para economia do consumo de energia no Campus da UFC em Quixadá

Abstract

Energy consumption in public buildings, especially by lighting and air conditioning systems, represents a significant portion of total energy costs. The use of the Internet of Things can contribute to reducing waste through automation systems. However, automating IoT devices requires managing actuator actions based on sensor information to ensure energy savings while considering changes in environmental conditions, user comfort, and energy price fluctuations. Therefore, Artificial Intelligence (AI) approaches can be a solution for managing these devices. Automated Planning is a subfield of AI that studies the deliberative process of choosing actions for an intelligent agent to achieve its goals. A plan is a sequence of actions that helps the agent move from an initial situation to achieving its goals. This approach has been successfully used to save energy in public buildings in recent years (Georgievski et al., 2017; Georgievski, 2023; Georgievski et al., 2023). The work (Umbelino, 2025) proposed an architecture for integrating automated planning and Internet of Things approaches for energy savings at the Federal University of Ceará- Quixadá Campus (UFC-Quixadá). Therefore, this work proposes: domain modeling and planning problems related to the UFC-Quixadá environments; selection of a temporal planner to obtain plans; physical installation of sensors and actuators in a room on campus with the objective of validating, in a real environment, the plans developed.