scholarly journals Design and Implementation of a Smart Energy Meter Using a LoRa Network in Real Time

Electronics ◽  
2021 ◽  
Vol 10 (24) ◽  
pp. 3152
Author(s):  
Francisco Sánchez-Sutil ◽  
Antonio Cano-Ortega ◽  
Jesús C. Hernández

Nowadays, the development, implementation and deployment of smart meters (SMs) is increasing in importance, and its expansion is exponential. The use of SMs in electrical engineering covers a multitude of applications ranging from real-time monitoring to the study of load profiles in homes. The use of wireless technologies has helped this development. Various problems arise in the implementation of SMs, such as coverage, locations without Internet access, etc. LoRa (long range) technology has great coverage and equipment with low power consumption that allows the installation of SMs in all types of locations, including those without Internet access. The objective of this research is to create an SM network under the LoRa specification that solves the problems presented by other wireless networks. For this purpose, a gateway for residential electricity metering networks using LoRa (GREMNL) and an electrical variable measuring device for households using LoRa (EVMDHL) have been created, which allow the development of SM networks with large coverage and low consumption.

2021 ◽  
Author(s):  
Jincheng Lu ◽  
Zixuan Ou ◽  
Ziyu Liu ◽  
Cheng Han ◽  
Wenbin Ye

2012 ◽  
Vol 38 (1) ◽  
pp. 14-18
Author(s):  
黄战华 HUANG Zhanhua ◽  
杨鹤猛 YANG Hemeng ◽  
孙立彬 SUN Libin ◽  
蔡怀宇 CAI Huaiyu

2017 ◽  
Vol 54 (10) ◽  
pp. 101202
Author(s):  
王 军 Wang Jun ◽  
韩 力 Han Li ◽  
杜博军 Du Bojun ◽  
杨会玲 Yang Huiling ◽  
何 昕 He Xin

2017 ◽  
Vol 2017 ◽  
pp. 1-9 ◽  
Author(s):  
Dapeng Man ◽  
Wu Yang ◽  
Shichang Xuan ◽  
Xiaojiang Du

Occupancy information is one of the most important privacy issues of a home. Unfortunately, an attacker is able to detect occupancy from smart meter data. The current battery-based load hiding (BLH) methods cannot solve this problem. To thwart occupancy detection attacks, we propose a framework of battery-based schemes to prevent occupancy detection (BPOD). BPOD monitors the power consumption of a home and detects the occupancy in real time. According to the detection result, BPOD modifies those statistical metrics of power consumption, which highly correlate with the occupancy by charging or discharging a battery, creating a delusion that the home is always occupied. We evaluate BPOD in a simulation using several real-world smart meter datasets. Our experiment results show that BPOD effectively prevents the threshold-based and classifier-based occupancy detection attacks. Furthermore, BPOD is also able to prevent nonintrusive appliance load monitoring attacks (NILM) as a side-effect of thwarting detection attacks.


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