Enhancing smart grids with a new IOT and cloud-based smart meter to predict the energy consumption with time series

被引：3
作者：
Gucyetmez, Mehmet [1 ,2 ]
Farhan, Husham Sakeen [2 ,3 ]
机构：
[1] Sivas Univ Sci & Technol, Dept Elect & Elect Engn, Sivas, Turkiye
[2] Kirsehir Ahi Evran Univ Sci Inst, Dept Adv Technol, Kirsehir, Turkiye
[3] Imam Jaafar Al Sadiq Univ, Coll Informat Technol, Dept Comp Technol, Engn, Baghdad, Iraq
来源：
ALEXANDRIA ENGINEERING JOURNAL | 2023年 / 79卷
关键词：
Smart grid; Smart meter; Energy balance; Power outage; Internet of things; DESIGN; IMPLEMENTATION; INFRASTRUCTURE; MANAGEMENT;
D O I：
10.1016/j.aej.2023.07.071
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
More energy-consuming devices such as household electronics and more production facilities worldwide are causing increases in electricity demand and energy prices. The public service has difficulty maintaining the energy balance. These problems can be overcome by rapidly transforming the traditional electricity grid into a smart grid (SG) infrastructure. Smart meters (SMs) are an essential component of SGs and have vital tasks. This study has developed an Internet of Things (IoT) based SM that can reach high data rate of 38,400 bps or frequency of 160 MHz, using SQL Server for data storage and bidirectional data transmission with 174 W total load. In this way, consumers can track their energy consumption hourly, daily, and monthly, learn how much they spent on consumption, and receive warnings for a power outage. A fuzzy system and mobile application software are integrated into the SM structure for all these purposes. The designed device is believed to contribute significantly to the spread of SGs due to all these features.
引用
收藏
页码：44 / 55
页数：12
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