Manuscript Title:

ELECTRIC DEVICE CLASSIFICATION BY POWER CONSUMPTION FOR OPTIMAL POWER MANAGEMENT IN IOT NETWORK

Author:

Dr. HAKAN KOYUNCU, RAZZOOQEE ZOHAD ABDULJAWAD

DOI Number:

DOI:10.17605/OSF.IO/E4G59

Published : 2023-03-10

About the author(s)

1. Dr. HAKAN KOYUNCU - Computer Engineering Information Technology, Altinbaş University, Istanbul, Turkey.
3. RAZZOOQEE ZOHAD ABDULJAWAD - Computer Engineering Information Technology, Altinbaş University, Mosul, Iraq.

Full Text : PDF

Abstract

The technological revolution that is leading the world today has given the Internet of Things the supremacy, living in a smart environment, rapid development and control over most daily life matters. The Internet of Things, which is called the abbreviation IoT, consists of sensors or devices, communication, data processing and user interface. By connecting these devices with the Internet and automated systems, we can collect and analyze information logically and quickly, as data is analyzed and processed in cloud systems or in the device itself. The Internet of Things can also connect all devices to the Internet and allow them to communicate with others, creating a world covered by a complex network of technology. Which allows communication between things and people with ease. These devices usually do their work without any human intervention. When we look at this matter, we find how truly amazing it is. Since iot has the advantage of dealing with artificial intelligence (AI) systems, learning and benefiting from them, this helps make the process of data collection and analysis easier and faster. This article focuses specifically on the system of classification and prediction of electrical appliances based on the losses of electrical loads in order to reach the best consumption.


Keywords

Internet of Things (IoT), Machine learning, Sensors, Cloud, Home appliance, Device failure.