| Issue |
E3S Web Conf.
Volume 387, 2023
International Conference on Smart Engineering for Renewable Energy Technologies (ICSERET-2023)
|
|
|---|---|---|
| Article Number | 04009 | |
| Number of page(s) | 9 | |
| Section | Sustainable Development | |
| DOI | https://doi.org/10.1051/e3sconf/202338704009 | |
| Published online | 15 May 2023 | |
A Smart Energy Management System for Residential Buildings Using IoT and Machine Learning
1 PSNA College of Engineering and Technology, Dindigul, India
2 New Prince Shri Bhavani College Of Engineering and Technology, Approved by AICTE, Affilated To Anna University, India
3 Assistant Professor, Prince Dr. K. Vasudevan College of Engineering and Technology, Chennai - 127
4 Assistant Professor, Prince Shri Venkateshwara Padmavathy Engineering College, Chennai - 127
* Correspondingauthor: itsjoykiruba27@gmail.com
The Smart Energy Management System (SEMS) for Residential Buildings using IOT-based back propagation with ANN is a novel approach to optimize energy consumption in buildings by leveraging data from internet of things (IOT) devices. This system collects data on energy consumption, weather conditions, occupancy patterns, and sensor data from IOT devices such as motion sensors, temperature sensors, and smart appliances. The collected data is then preprocessed and used to train an artificial neural network (ANN) using back propagation algorithm. The trained model can then predict future energy demands, leading to cost savings and reduced environmental impact by optimizing energy consumption in a residential building. The proposed algorithm can be used as a foundation for building an effective SEMS using IOT-based back propagation with ANN.
Key words: Energy Management System / IoT / Back propagation / Artificial Neural Network
© The Authors, published by EDP Sciences, 2023
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