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INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016 open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15 |
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| Paper Title: | Design And Implementation Of Machine Learning Based Smart Energy Management System |
| Authors Name: | Blessy Rani Jenefer.S , Mazher Iqbal J L |
| Unique Id: | IJSDR2404083 |
| Published In: | Volume 9 Issue 4, April-2024 |
| Abstract: | Energy is that the lifeblood of modern societies. 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. It proposes the use of Convolution neural networks (CNNs) for the design and implementation of a smart home energy management system using IoT and machine learning techniques. This project work aims to develop a machine learning model, method, architecture or appliance to reduce building energy use and emissions using a smart sensor for residential or commercial buildings. An experienced operator can do a good job of adjusting set points and schedule. But no matter how good they are, a human’s ability is restricted by the amount of knowledge he or she can process. 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. These can be used to accurately estimate the number of occupants in each room using machine learning techniques and this technique can be used to predict future occupancy. |
| Keywords: | Voltage, Current, IR (Infrared) Sensor, LDR (Light Dependent Resistor) Sensor, Prediction, CNN Algorithm, Raspberry Pi, Temperature, Smart Building, PC (Personal Computer), Data Base, Data Analysis |
| Cite Article: | "Design And Implementation Of Machine Learning Based Smart Energy Management System", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.9, Issue 4, page no.604 - 611, April-2024, Available :http://www.ijsdr.org/papers/IJSDR2404083.pdf |
| Downloads: | 000338171 |
| Publication Details: | Published Paper ID: IJSDR2404083 Registration ID:210770 Published In: Volume 9 Issue 4, April-2024 DOI (Digital Object Identifier): Page No: 604 - 611 Publisher: IJSDR | www.ijsdr.org ISSN Number: 2455-2631 |
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