Abstract:
Smart homes use a variety of technology that automate tasks and increase convenience in our daily lives. Functions performed by the devices can be improving security acce...Show MoreMetadata
Abstract:
Smart homes use a variety of technology that automate tasks and increase convenience in our daily lives. Functions performed by the devices can be improving security access, controlling lighting and adjusting temperature. Given the importance of convenience and cost efficiency in such settings, as well as the large number of devices involved, it is necessary to monitor power usage in smart homes. Furthermore, rising energy consumption increases the carbon footprint, exacerbates climate threats and puts a strain on energy supplies. As a result, monitoring energy use becomes critical for guaranteeing sustainability and efficiency. In this paper, we analyzed the energy consumption and usage in a home with multiple smart devices that are connected to a smart meter and we tried to offer optimization. This research focuses on optimizing energy usage while balancing user convenience, incorporating factors such as air pressure, dew point, and wind speed. To evaluate the optimization process, a hybrid approach using Linear Regression, Random Forest Regression and Gradient Boosting was developed. The study aimed to optimize energy consumption by predicting net energy usage. By utilizing predictions and optimized control strategies, smart home appliances can be managed proactively and efficiently.
Date of Conference: 10-12 October 2024
Date Added to IEEE Xplore: 11 November 2024
ISBN Information: