Mobile Web Energy Monitoring System Using DFRduino Uno

Galera, Kristine Mae E.; Llantos, Orven E.

doi:10.1016/j.procs.2017.12.208

Cited by 15 publications

(8 citation statements)

References 5 publications

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“…Authors in [40] used an Application-Programming-Interface (API) and DFRduino to construct a RT electricity monitoring system that collected data on a smartphone. Residential electricity consumption accounts for a substantial amount of a country's total energy expenditure; thus, efforts to reduce residential (buildings, homes, etc.)…”

Section: Literature Reviewmentioning

confidence: 99%

Design, Deployment and Performance Evaluation of an IoT Based Smart Energy Management System for Demand Side Management in Smart Grid

Saleem

Usman

et al. 2022

IEEE Access

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The Smart Grid (SG) is the technological development that incorporates digital technologies and advanced communication methods to determine and respond to variations in electricity consumption in order to revolutionize power distribution, transmission, and generation. In the conventional electrical grid, customers remain unaware to their energy usage patterns that not only results in energy loss but also money. The consumers' usage and consumption standards need to be regulated in order to improve energy efficiency (EE). SG utilizes demand side management (DSM) for energy savings by use of various approaches like financial incentives, subsidized tariffs, and awareness to alter consumers' energy demand. In smart environments (SE), Internet-of-Things (IoT) is evolving as a significant partner for resource and energy management. DSM in SG must take advantage of smart energy management system (SEMS) developed on smart meters (SMs) and modern technologies like IoT. Using SMs with IoT based technologies makes SEMS more effective in the SG. This paper offers design, deployment, implementation, and performance evaluation of an IoT based SEMS, including SMs as well as IoT middleware module and its related benefits. The proposed SEMS operates online and offers real-time (RT) load profiles (LPs) to customers and suppliers remotely. The customers' LPs allow suppliers to disseminate and regulate their incentives as well as incite the customers to alter their energy consumption. Furthermore, these LPs serves as an input for developing numerous DSM approaches. The proposed solution is installed and evaluated at 4 different locations of Stylo Pvt. Ltd. Pakistan, which can communicate commands and observe the efficiency of electricity supplied by the utility. Moreover, the RT impact of using separate SM for automated control of heating, ventilation and air conditioning (HVAC) system is shown in terms of power consumption. The RT case study presents the efficacy of the proposed IoT-based-SEMS.INDEX TERMS Demand Side Management (DSM), Energy Management System (EMS), Internet of Things (IoT), Smart Meter (SM), Smart Grid (SG)

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Section: Literature Reviewmentioning

confidence: 99%

Design, Deployment and Performance Evaluation of an IoT Based Smart Energy Management System for Demand Side Management in Smart Grid

Saleem

Usman

et al. 2022

IEEE Access

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“…Galera and Llantos developed a real-time energy monitoring system based on DFRduino Uno and RESTful Application Programming Interface (API) resources and obtained data on a mobile phone. 24 Residential energy consumption constitutes a significant portion of overall energy expenditure in a country; therefore, efforts to minimize energy waste in residential sector will have a greater impact on energy savings. Rashid and Sahir declare that in developing countries, more than 40% of load on power systems is by residential buildings and the residential loads largely consist of shift-able appliances, which can contribute largely in peak shifting and energy management.…”

Section: Literature Reviewmentioning

confidence: 99%

“…They claim that it is challenging to estimate energy usage by individual appliances; therefore, they propose a disaggregation method, which is a modified form of the Hidden Markov Model (HMM), to identify an appliance and its operation status based on realistic quantifiable parameters from the home energy meter. Galera and Llantos developed a real‐time energy monitoring system based on DFRduino Uno and RESTful Application Programming Interface (API) resources and obtained data on a mobile phone 24 …”

Section: Literature Reviewmentioning

confidence: 99%

Internet of things and cloud computing‐based energy management system for demand side management in smart grid

Hashmi¹,

2020

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“…A hardware device was used to collect energy data that is transferred and stored to a database via cloud-based RESTful API resources. The data obtained was then used by the mobile web application to view real-time and historical energy readings [13].…”

Section: Introduction Lectric Energy Demand Is Increasing Day By Daymentioning

confidence: 99%

“…In literature reviews on the subject, methods that help monitor and use energy efficiently such as using android smartphones [3], using arduino microcontroller [10], DFRduino Uno [13], Using Zigbee and Arduino [15], using internet of things devices [16] are presented. In this study, real time power parameters and energy consumption are monitored.…”

Section: Introduction Lectric Energy Demand Is Increasing Day By Daymentioning

confidence: 99%

Real-Time Monitoring, Analysis and Control of Power Parameters in Residential Houses Using LabVIEW

Kocaman

YİĞİT

2022

Balkan Journal of Electrical and Computer Engineering

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Electrical energy consumed in residential has an important value in total consumption. For this reason, monitoring and control of the electricity consumed in the residential offers a significant potential for energy saving. In this study, the power parameters of the linear and nonlinear loads used in the residential have measured, analyzed and controlled in real time. Thanks to real-time monitoring, analysis and control of power parameters ensure efficient use of energy. For this, power parameters of the loads used have transferred to the computer thanks to the data acquisition card. A visual interface has been created with the software designed in the Laboratory Virtual Instrument Engineering Workbench (LabVIEW) program so that the data transferred to the computer can be monitored and controlled instantly.

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Mobile Web Energy Monitoring System Using DFRduino Uno

Cited by 15 publications

References 5 publications

Design, Deployment and Performance Evaluation of an IoT Based Smart Energy Management System for Demand Side Management in Smart Grid

Design, Deployment and Performance Evaluation of an IoT Based Smart Energy Management System for Demand Side Management in Smart Grid

Internet of things and cloud computing‐based energy management system for demand side management in smart grid

Real-Time Monitoring, Analysis and Control of Power Parameters in Residential Houses Using LabVIEW

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