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
N1 - Publisher Copyright:
© 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
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.
UR - http://www.scopus.com/inward/record.url?scp=85133026307&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85133026307&partnerID=8YFLogxK
U2 - 10.1007/978-981-19-0252-9_67
DO - 10.1007/978-981-19-0252-9_67
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 - 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 -