Setting up Local Private Smart Grids with Data Collection Sensors for Scientific Experiments using MQTT and Node-Red

Mohammed Almshari; Adil O. Khadidos; Georgios Tsaramirsis; Fazal Qudus Khan; Alaa Khadidos; Iordanis K. Giannopoulos; Assimakis K. Leros; Dimitris Piromalis; Mahipal Bukya

doi:10.1007/978-981-19-0252-9_67

Setting up Local Private Smart Grids with Data Collection Sensors for Scientific Experiments using MQTT and Node-Red

Mohammed Almshari^*
, Adil O. Khadidos
, Georgios Tsaramirsis
, Fazal Qudus Khan
, Alaa Khadidos
, Iordanis K. Giannopoulos
, Assimakis K. Leros
, Dimitris Piromalis
, Mahipal Bukya

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

8 Citations (Scopus)

Abstract

Smart grids are popular areas of research as they are an essential component of smart cities, smart homes, IoT, and other popular research areas. Scientific experiments in smart grids may be conducted by researchers who may have limited experience in the field or limited budget or come from different disciplines. This paper is aimed for such a research audience as it demonstrates in some detail and with simple steps, how a small size private smart grid can be installed using low cost, widely available hardware and software. The paper proposes the use of Sonoff POW 2 smart switches, with either windows PC or single board computers such as Raspberry Pi to host the MQTT servers and Node-Red, offering a simple, low-cost but yet effective solution for conducting scientific experiments.

Original language	English
Title of host publication	Intelligent Computing Techniques for Smart Energy Systems - Proceedings of ICTSES 2021
Editors	Anshuman Tripathi, Amit Soni, Ashish Shrivastava, Ashish Shrivastava, Anil Swarnkar, Jagrati Sahariya
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	743-755
Number of pages	13
ISBN (Print)	9789811902512
DOIs	https://doi.org/10.1007/978-981-19-0252-9_67
Publication status	Published - 2022
Event	2nd International Conference on Intelligent Computing Techniques for Smart Energy Systems, ICTSES 2021 - Virtual, Online Duration: 01-09-2021 → 03-09-2021

Publication series

Name	Lecture Notes in Electrical Engineering
Volume	862
ISSN (Print)	1876-1100
ISSN (Electronic)	1876-1119

Conference

Conference	2nd International Conference on Intelligent Computing Techniques for Smart Energy Systems, ICTSES 2021
City	Virtual, Online
Period	01-09-21 → 03-09-21

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy
SDG 11 Sustainable Cities and Communities

All Science Journal Classification (ASJC) codes

Industrial and Manufacturing Engineering

Access to Document

10.1007/978-981-19-0252-9_67

Cite this

Almshari, M., Khadidos, A. O., Tsaramirsis, G., Khan, F. Q., Khadidos, A., Giannopoulos, I. K., Leros, A. K., Piromalis, D., & Bukya, M. (2022). Setting up Local Private Smart Grids with Data Collection Sensors for Scientific Experiments using MQTT and Node-Red. In A. Tripathi, A. Soni, A. Shrivastava, A. Shrivastava, A. Swarnkar, & J. Sahariya (Eds.), Intelligent Computing Techniques for Smart Energy Systems - Proceedings of ICTSES 2021 (pp. 743-755). (Lecture Notes in Electrical Engineering; Vol. 862). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-981-19-0252-9_67

Almshari, Mohammed ; Khadidos, Adil O. ; Tsaramirsis, Georgios et al. / Setting up Local Private Smart Grids with Data Collection Sensors for Scientific Experiments using MQTT and Node-Red. Intelligent Computing Techniques for Smart Energy Systems - Proceedings of ICTSES 2021. editor / Anshuman Tripathi ; Amit Soni ; Ashish Shrivastava ; Ashish Shrivastava ; Anil Swarnkar ; Jagrati Sahariya. Springer Science and Business Media Deutschland GmbH, 2022. pp. 743-755 (Lecture Notes in Electrical Engineering).

@inproceedings{a6a80d8316e84b619c92af94fe0f2698,

title = "Setting up Local Private Smart Grids with Data Collection Sensors for Scientific Experiments using MQTT and Node-Red",

abstract = "Smart grids are popular areas of research as they are an essential component of smart cities, smart homes, IoT, and other popular research areas. Scientific experiments in smart grids may be conducted by researchers who may have limited experience in the field or limited budget or come from different disciplines. This paper is aimed for such a research audience as it demonstrates in some detail and with simple steps, how a small size private smart grid can be installed using low cost, widely available hardware and software. The paper proposes the use of Sonoff POW 2 smart switches, with either windows PC or single board computers such as Raspberry Pi to host the MQTT servers and Node-Red, offering a simple, low-cost but yet effective solution for conducting scientific experiments.",

author = "Mohammed Almshari and Khadidos, \{Adil O.\} and Georgios Tsaramirsis and Khan, \{Fazal Qudus\} and Alaa Khadidos and Giannopoulos, \{Iordanis K.\} and Leros, \{Assimakis K.\} and Dimitris Piromalis and Mahipal Bukya",

note = "Publisher Copyright: {\textcopyright} 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.; 2nd International Conference on Intelligent Computing Techniques for Smart Energy Systems, ICTSES 2021 ; Conference date: 01-09-2021 Through 03-09-2021",

year = "2022",

doi = "10.1007/978-981-19-0252-9\_67",

language = "English",

isbn = "9789811902512",

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publisher = "Springer Science and Business Media Deutschland GmbH",

pages = "743--755",

editor = "Anshuman Tripathi and Amit Soni and Ashish Shrivastava and Ashish Shrivastava and Anil Swarnkar and Jagrati Sahariya",

booktitle = "Intelligent Computing Techniques for Smart Energy Systems - Proceedings of ICTSES 2021",

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}

Almshari, M, Khadidos, AO, Tsaramirsis, G, Khan, FQ, Khadidos, A, Giannopoulos, IK, Leros, AK, Piromalis, D & Bukya, M 2022, Setting up Local Private Smart Grids with Data Collection Sensors for Scientific Experiments using MQTT and Node-Red. in A Tripathi, A Soni, A Shrivastava, A Shrivastava, A Swarnkar & J Sahariya (eds), Intelligent Computing Techniques for Smart Energy Systems - Proceedings of ICTSES 2021. Lecture Notes in Electrical Engineering, vol. 862, Springer Science and Business Media Deutschland GmbH, pp. 743-755, 2nd International Conference on Intelligent Computing Techniques for Smart Energy Systems, ICTSES 2021, Virtual, Online, 01-09-21. https://doi.org/10.1007/978-981-19-0252-9_67

Setting up Local Private Smart Grids with Data Collection Sensors for Scientific Experiments using MQTT and Node-Red. / Almshari, Mohammed; Khadidos, Adil O.; Tsaramirsis, Georgios et al.
Intelligent Computing Techniques for Smart Energy Systems - Proceedings of ICTSES 2021. ed. / Anshuman Tripathi; Amit Soni; Ashish Shrivastava; Ashish Shrivastava; Anil Swarnkar; Jagrati Sahariya. Springer Science and Business Media Deutschland GmbH, 2022. p. 743-755 (Lecture Notes in Electrical Engineering; Vol. 862).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Setting up Local Private Smart Grids with Data Collection Sensors for Scientific Experiments using MQTT and Node-Red

AU - Almshari, Mohammed

AU - Khadidos, Adil O.

AU - Tsaramirsis, Georgios

AU - Khan, Fazal Qudus

AU - Khadidos, Alaa

AU - Giannopoulos, Iordanis K.

AU - Leros, Assimakis K.

AU - Piromalis, Dimitris

AU - Bukya, Mahipal

PY - 2022

Y1 - 2022

N2 - Smart grids are popular areas of research as they are an essential component of smart cities, smart homes, IoT, and other popular research areas. Scientific experiments in smart grids may be conducted by researchers who may have limited experience in the field or limited budget or come from different disciplines. This paper is aimed for such a research audience as it demonstrates in some detail and with simple steps, how a small size private smart grid can be installed using low cost, widely available hardware and software. The paper proposes the use of Sonoff POW 2 smart switches, with either windows PC or single board computers such as Raspberry Pi to host the MQTT servers and Node-Red, offering a simple, low-cost but yet effective solution for conducting scientific experiments.

AB - Smart grids are popular areas of research as they are an essential component of smart cities, smart homes, IoT, and other popular research areas. Scientific experiments in smart grids may be conducted by researchers who may have limited experience in the field or limited budget or come from different disciplines. This paper is aimed for such a research audience as it demonstrates in some detail and with simple steps, how a small size private smart grid can be installed using low cost, widely available hardware and software. The paper proposes the use of Sonoff POW 2 smart switches, with either windows PC or single board computers such as Raspberry Pi to host the MQTT servers and Node-Red, offering a simple, low-cost but yet effective solution for conducting scientific experiments.

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M3 - Conference contribution

AN - SCOPUS:85133026307

SN - 9789811902512

T3 - Lecture Notes in Electrical Engineering

SP - 743

EP - 755

BT - Intelligent Computing Techniques for Smart Energy Systems - Proceedings of ICTSES 2021

A2 - Tripathi, Anshuman

A2 - Soni, Amit

A2 - Shrivastava, Ashish

A2 - Swarnkar, Anil

A2 - Sahariya, Jagrati

PB - Springer Science and Business Media Deutschland GmbH

T2 - 2nd International Conference on Intelligent Computing Techniques for Smart Energy Systems, ICTSES 2021

Y2 - 1 September 2021 through 3 September 2021

ER -

Almshari M, Khadidos AO, Tsaramirsis G, Khan FQ, Khadidos A, Giannopoulos IK et al. Setting up Local Private Smart Grids with Data Collection Sensors for Scientific Experiments using MQTT and Node-Red. In Tripathi A, Soni A, Shrivastava A, Shrivastava A, Swarnkar A, Sahariya J, editors, Intelligent Computing Techniques for Smart Energy Systems - Proceedings of ICTSES 2021. Springer Science and Business Media Deutschland GmbH. 2022. p. 743-755. (Lecture Notes in Electrical Engineering). doi: 10.1007/978-981-19-0252-9_67

Setting up Local Private Smart Grids with Data Collection Sensors for Scientific Experiments using MQTT and Node-Red

Abstract

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UN SDGs

All Science Journal Classification (ASJC) codes

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