An IoT ML-Based system for Energy Efficiency in smart homes

Internet of Things (IoT) technologies are developing rapidly, creating new challenges, especially on the energy saving side of its resources. This work presents an IoT-based management system for automatically controlling air conditioning, TV and lightning in smart homes. In this system, sensors collect data regarding temperature, humidity, luminosity and motion in monitored room. These data are parameters to perform interventions in smart homes in order to avoid keeping them turned on when the environment is not being used. This paper also presents the use of Machine Learning techniques in the analysis of data gathered from the sensors to feed it to a predictive model to determine when the appliances and lights should be turned on or off.