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Design and Implementation of a Smart Home Energy Management System Using IoT and Machine Learning
- Source :
- E3S Web of Conferences, Vol 387, p 04005 (2023)
- Publication Year :
- 2023
- Publisher :
- EDP Sciences, 2023.
-
Abstract
- The paper “Design and Implementation of a Smart Home Energy Management System Using IoT and Machine Learning” proposes a system that aims to optimize energy consumption in a smart home environment. The system uses Internet of Things (IoT) devices to collect real-time data on energy usage and machine learning algorithms to predict future consumption patterns. This paper proposes the use of deep neural networks (DNNs) for the design and implementation of a smart home energy management system using IoT and machine learning techniques. The authors demonstrate the effectiveness of the system through experimental results, showing significant energy savings compared to traditional methods. The DNN is built using Keras or Tensor Flow and is trained on extracted features from energy consumption data collected using IoT sensors. The system is implemented with a real-time monitoring system and a user interface for remote access. The proposed system has the potential to save energy and reduce energy costs for households while providing real-time feedback to the user.
Details
- Language :
- English, French
- ISSN :
- 22671242
- Volume :
- 387
- Database :
- Directory of Open Access Journals
- Journal :
- E3S Web of Conferences
- Publication Type :
- Academic Journal
- Accession number :
- edsdoj.457be641e17e4c36b43eb5e09854f77d
- Document Type :
- article
- Full Text :
- https://doi.org/10.1051/e3sconf/202338704005