Machine Learning-Based Smart Home Data Analysis and Forecasting Method

被引：0

作者：

Park, Sanguk ^{[1
]}

机构：

[1] Kangwon Natl Univ, Dept Elect Informat & Commun Engn, Samcheok, South Korea

来源：

2023 IEEE INTERNATIONAL CONFERENCE ON CONSUMER ELECTRONICS, ICCE | 2023年

基金：

新加坡国家研究基金会;

关键词：

Data analysis; Prediction; Machine learning;

D O I：

10.1109/ICCE56470.2023.10043406

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

The goal of this paper is to enable cost-effective IoT system design by removing and integrating redundant IoT sensors through correlation analysis between sensing data collected in a smart home environment. This paper presents data analysis and prediction technology that induces meaningful inference through data correlation analysis between different heterogeneous IoT sensors installed inside a smart home. Through this, we propose an intelligent service model that can be implemented based on machine learning/deep learning in a smart home environment.

引用

页数：2