Research Information System
2022 International Conference on Industry Sciences and Computer Science Innovation, iSCSi 2022, Porto, Portugal, 9 - 11 March 2022, vol.204, pp.627-634, (Full Text)
Human-induced carbon emissions and the resulting increase in global warming are the major threats to the habitability of our world. Even though there are several reasons for carbon emission, the energy consumed by the residences also has a significant impact on this. The developments in technology create tools to fight global warming. Internet of Things (IoT) and Artificial Intelligence (AI) have become the primary of these tools. AI can learn, establish relationships, and make decisions for particular problems, and combining the capabilities of AI with the practical and efficient use of the IoT would accelerate the fight against carbon emissions. However, global implementation of these tools is increasingly crucial for the solution. In this study, a global model based on IoT and AI has been designed to control residences' energy consumption. The model is trained using the Decision Tree (DT) algorithm, and unique data sequences are created for each unit of the model. The smallest units are directed with central intelligence by providing data minimization. The pre-simulation of the model shows that the model is capable of reducing and stabilizing annual carbon emissions at the targeted rate by intervening with the devices connected to the global model and providing 21% of the decrease in carbon emission. Therefore, improving, developing, and implementing the model in the medium term could be used as one of the primary practical tools to reduce carbon emissions.