A Smart home energy management system using Iot and machine learning
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Date
2021
Journal Title
Journal ISSN
Volume Title
Publisher
Université de Larbi Ben M’hidi-Oum Oum El Bouaghi
Abstract
Internet of things or simply "IoT" is a system of interrelated computing devices that allow objects to connect to each other; Devices, machines, objects, even animals and people can be part of this system just by having a unique identifier and a way to transmit data throughout network without any manual intervention. Nowadays, IoT is invading many areas and has different domain of applications such as healthcare, smart city, security and automation.
Smart home is a major application system and essential in automation. It's a really efficient way to ensure power saving, comfier life specially when it including energy management system
This intelligent energy management software control system is designed to reduce energy consumption, improve the utilization of the system, increase reliability, predict electrical system performance, and optimize energy usage to reduce cost.
This project has the aim of making a solution for energy consumption problem, by implementing software and a hardware solution throughout an IoT system. The first half consist of equipping the house with actuators and sensors that would do measure the power , and then the software solution consists cloud application that allows monitoring of the system and control the actuators and of course receiving consumption in real time with possibility of predicting future consumption
This solution is based on Wi-Fi technology to permit access to data anytime anywhere in the world and also cloud computing technology for data processing and storage with machine learning.
Description
Keywords
Internet of things, Smart home, Energy management system