Machine Learning in Smart Home Energy Monitoring System
Gengyi Xiao
Abstract
Abstract In order to solve the insufficiency of the existing smart home energy monitor ing system in autonomous adaptability, a smart home energy monitoring system based on machine learning and embedded technology is proposed. The system uses a gatewa y to collect sensor data, and then uses a cloud computing platform running Hadoop and machine learning algorithms to learn and identify user behaviours to achieve autonom ous decision-making capabilities. Through the analysis of examples, it can be seen that the solution greatly improves the humanization of the smart home system.
Topics & Concepts
AdaptabilityCloud computingHome automationComputer scienceEnergy (signal processing)Embedded systemSmart systemReal-time computingArtificial intelligenceOperating systemInternet of ThingsMathematicsStatisticsEcologyBiologyIoT-based Smart Home SystemsContext-Aware Activity Recognition SystemsSmart Grid Energy Management