Wireless sensor network for single phase electricity monitoring system via Zigbee protocol

Anbya, M. F. B.; Salehuddin, M.; Hadisupadmo, Sutanto; Leksono, Edi

doi:10.1109/ccsii.2012.6470512

Cited by 12 publications

(6 citation statements)

References 3 publications

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“…We embrace the open source and hardware principles in order to offer a system easily modifiable to suit the user needs and to be used as the basis for new products. Many authors and developers in the makers community based their work on the Arduino platform to perform appliance load monitoring by means of standalone power meter plugs [8] , [9] , wireless sensor networks [10] , and dedicated microcontrollers [11] , offering different levels of connectivity [12] . We focused on the non-intrusiveness of the system developing a single device easy to install and embedding a light web server in order to avoid dedicated software infrastructures to get real-time information about the energy consumption and the usage of domestic appliances.…”

Section: Hardware In Contextmentioning

confidence: 99%

Enerduino-pro: Smart meter led probe using Arduino

Potortì¹,

Rosa²,

Palumbo³

2023

HardwareX

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Section: Hardware In Contextmentioning

confidence: 99%

Enerduino-pro: Smart meter led probe using Arduino

Potortì¹,

Rosa²,

Palumbo³

2023

HardwareX

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“…Several authors opted to purposely custom-made hardware and software to measure electricity consumption. Anbya et al [15] propose an entirely custom-made system based on IC ADE7753 energy meter, which uses a Zigbee mesh to communicate with a base station. Depending on the conditions, the proposed system measured electricity consumption with a precision error between 0.03% and 1.23%.…”

Section: The State Of the Art Of Electricity Monitoringmentioning

confidence: 99%

“…Energy monitoring is still a very prolific field of research with contributions often focusing on the evaluation of particular aspects of monitoring solutions (e.g., [9,14,15]). Or the development of monitoring solutions for particular scenarios in which the monitoring is not the main outcome of the research (for example Abdulsalam Alghamdi employed a monitoring solution to collect data as the input for an viability study of PV installations in Saudi Arabia [16]).…”

Section: Introductionmentioning

confidence: 99%

Energy Monitoring in the Wild: Platform Development and Lessons Learned from a Real-World Demonstrator

et al. 2021

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This paper presents the development and evaluation of EnnerSpectrum, a platform for electricity monitoring. The development was motivated by a gap between academic, fully custom-made monitoring solutions and commercial proprietary monitoring approaches. EnnerSpectrum is composed of two main entities, the back end, and the Gateway. The back end is a server comprised of flexible entities that can be configured to different monitoring scenarios. The Gateway interacts with equipment at a site that cannot interact directly with the back end. The paper presents the architecture and configuration of EnnerSpectrum for a long-term case study with 13 prosumers of electricity for approximately 36 months. During this period, the proposed system was able to adapt to several building and monitoring conditions while acquiring 95% of all the available consumption data. To finalize, the paper presents a set of lessons learned from running such a long-term study in the real world.

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“…Without use of keyboard, mouse we can glimpse videos get access to, change, move facts and figures simply .But this concept bottle necks lead to modification of the same by utilising instructions rather than of gestures. Muhammad Fajri Bayu Anbya [4,9] electric power supervising system is now using real-time estimation facility via wireless network submissions. By utilising Zigbee is utilised as wireless protocol.…”

Section: Literature Reviewmentioning

confidence: 99%

To analyze hand gesture recognition for wirelessly electronic device control

Pannase¹,

Ugale²

2014

IOSRJECE

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In this research work we propose a fast algorithm for automatically recognizing a limited set of gestures from hand images for Zig-Bee interfaced device control application. Hand gesture recognition is a challenging problem in its general form. We consider a fixed set of manual commands and a reasonably structured environment, and develop a simple, yet effective, procedure for gesture recognition. Our approach contains steps for segmenting the hand region, locating the fingers, and finally classifying the gesture. The algorithm is invariant to translation, rotation, and scale of the hand. As a part of work we also analysis the mean deviation approach with fast algorithm. From the recorded Results of hardware & software we demonstrate the effectiveness of the fast algorithm on the basis of time & accuracies. Thus the system we describe here may be the "Soft Remote Control System" which can provide easy control of home installed appliances to improve the inhabitant's comfort.

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Wireless sensor network for single phase electricity monitoring system via Zigbee protocol

Cited by 12 publications

References 3 publications

Enerduino-pro: Smart meter led probe using Arduino

Enerduino-pro: Smart meter led probe using Arduino

Energy Monitoring in the Wild: Platform Development and Lessons Learned from a Real-World Demonstrator

To analyze hand gesture recognition for wirelessly electronic device control

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