Research Article
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Year 2024, , 31 - 36, 26.09.2024
https://doi.org/10.46810/tdfd.1411862

Abstract

References

  • Amer W, Attique Y, Ghafoor A. “Comprehensive e-Monitoring, e-Management and e-Billing (eM2B) system with Zoom_ın and Zoom-Out capabilities to reduce electricity distribution loses for developing countries”. IEEE 2010 International Systems Conference, San Diego, USA, 05-08 April 2010.
  • Wibisino G, Saktiaji GP, Ibrahim I. “Techno economiz analysis of smart meter reading implementation in PLN Bali using LoRa technology”. 2017 International Conference on Broadband Communication, Wireless Sensors and Powering (BCWSP), Jakarta, Indonesia, 21-23 November 2017.
  • Chi X, Liu B, Niu Q, Wu Q. “Web Load Balance and Cache Optimization Design Based Nginx under High-Concurrency Enviroment”. 2012 Third International Conference on Digital Manufacturing & Automation, Guilin, China, 31 July – 02 August 2012.
  • Republic of Türkiye, Energy Market Regulatory Authority. “Electricity Market Sector Report 2013-2021”. Republic of Türkiye, Energy Market Regulatory Authority, Ankara, Türkiye, 2021.
  • International Standard, IEC 62056-21. “Electricity metering, data exchange from meter reading, tariff and load control”. International standard 2018.
  • Fernandes SL, Bala GJ. “Odroid XU4 based implementation of decision level fusion approach for matching computer generated sketches”, 2016 Journal of Computational Science, Tamil Nadu, India, September 2016.
  • Qusay IS, Szatmari A, Toth R, Beszedes A. “CharmFL: A Fault Localization Tool for Python”. 2021 IEEE 12st International Working Conference on Source Code Analysis and Manipulation (SCAM), Luxembourg, 27-28 September 2021.
  • Xia, X., Xiao, Y., Liang, W., & Cui, J. (2022). Detection methods in smart meters for electricity thefts: A survey. Proceedings of the IEEE, 110(2), 273-319.
  • Chakraborty, S., Das, S., Sidhu, T., & Siva, A. K. (2021). Smart meters for enhancing protection and monitoring functions in emerging distribution systems. International Journal of Electrical Power & Energy Systems, 127, 106626.
  • Gaggero, G. B., Marchese, M., Moheddine, A., & Patrone, F. (2021). A possible smart metering system evolution for rural and remote areas employing unmanned aerial vehicles and internet of things in smart grids. Sensors, 21(5), 1627.
  • Sharma, R., Gandhi, R., Sungheetha, A., Chinnaiyan, R., & Deepaletchumi, N. (2024, February). Smart Measuring Device for Power with Digital Debiting System Using Mobile Application Tool. In 2024 4th International Conference on Innovative Practices in Technology and Management (ICIPTM) (pp. 1-6). IEEE.
  • Vlasa, I., Gligor, A., Dumitru, C. D., & Iantovics, L. B. (2020). Smart metering systems optimization for non-technical losses reduction and consumption recording operation improvement in electricity sector. Sensors, 20(10), 2947.
  • Dimkpa, V. C., Agba, J. C., & Ogu, V. U. Design and Construction of a GSM Based Energy Meter Reader and Load Control System.
  • Shunmugalatha, A., Balamurugan, K., Aravind, D. S., & ShanmugaSundarapandi, B. (2023, August). Design and Development of Autonomous Smart Energy Meter with Remote Management Control. In 2023 Second International Conference on Augmented Intelligence and Sustainable Systems (ICAISS)(pp. 1782-1785). IEEE.

Economic analysis of automatic meter reading on web based in Turkey using nginx load balancer technology

Year 2024, , 31 - 36, 26.09.2024
https://doi.org/10.46810/tdfd.1411862

Abstract

Electricity meters, which are read manually, bring a great financial burden to companies in terms of workload, time and economy. In this study, examined the reading of electric meters automatically process, Turkey focused on cost-benefit analysis performed. With the ever-increasing electricity consumption, the number of electricity expenses and accordingly the number of subscribers increases. Along with the increasing number of electricity consumers, the number of subscribers and consequently electricity consumption increases. Automatic Meter Reading Systems is one of the recommended solution packages for Energy Management Systems. It is for python programming language and its frameworks as software infrastructure. Nginx is used as a web server, and Web Server Gateway Interface and Gunicorn frameworks are used for the connection between the application and the web server. Thanks to automatic meter reading system, which has an extremely fast reading structure, it is predicted that tens of thousands of electricity meters can be read over the internet in seconds. Nginx Load Balancer software technology is capable of transferring tens of thousands of indexes to the database at once. This technology is able to distribute data load and respond to data traffic. In addition, the effect of reading cost on Energy Management Systems is analyzed in meters that are read manually. Turkey's Elazig province, economic research analysis was conducted on a total of 334 thousand electricity subscribers. According to survey data, 47 million has electricity subscribers in Turkey. In addition, cost-benefit analysis of the meters that are foreseen to be read in Nginx load balancer software technology is performed.

References

  • Amer W, Attique Y, Ghafoor A. “Comprehensive e-Monitoring, e-Management and e-Billing (eM2B) system with Zoom_ın and Zoom-Out capabilities to reduce electricity distribution loses for developing countries”. IEEE 2010 International Systems Conference, San Diego, USA, 05-08 April 2010.
  • Wibisino G, Saktiaji GP, Ibrahim I. “Techno economiz analysis of smart meter reading implementation in PLN Bali using LoRa technology”. 2017 International Conference on Broadband Communication, Wireless Sensors and Powering (BCWSP), Jakarta, Indonesia, 21-23 November 2017.
  • Chi X, Liu B, Niu Q, Wu Q. “Web Load Balance and Cache Optimization Design Based Nginx under High-Concurrency Enviroment”. 2012 Third International Conference on Digital Manufacturing & Automation, Guilin, China, 31 July – 02 August 2012.
  • Republic of Türkiye, Energy Market Regulatory Authority. “Electricity Market Sector Report 2013-2021”. Republic of Türkiye, Energy Market Regulatory Authority, Ankara, Türkiye, 2021.
  • International Standard, IEC 62056-21. “Electricity metering, data exchange from meter reading, tariff and load control”. International standard 2018.
  • Fernandes SL, Bala GJ. “Odroid XU4 based implementation of decision level fusion approach for matching computer generated sketches”, 2016 Journal of Computational Science, Tamil Nadu, India, September 2016.
  • Qusay IS, Szatmari A, Toth R, Beszedes A. “CharmFL: A Fault Localization Tool for Python”. 2021 IEEE 12st International Working Conference on Source Code Analysis and Manipulation (SCAM), Luxembourg, 27-28 September 2021.
  • Xia, X., Xiao, Y., Liang, W., & Cui, J. (2022). Detection methods in smart meters for electricity thefts: A survey. Proceedings of the IEEE, 110(2), 273-319.
  • Chakraborty, S., Das, S., Sidhu, T., & Siva, A. K. (2021). Smart meters for enhancing protection and monitoring functions in emerging distribution systems. International Journal of Electrical Power & Energy Systems, 127, 106626.
  • Gaggero, G. B., Marchese, M., Moheddine, A., & Patrone, F. (2021). A possible smart metering system evolution for rural and remote areas employing unmanned aerial vehicles and internet of things in smart grids. Sensors, 21(5), 1627.
  • Sharma, R., Gandhi, R., Sungheetha, A., Chinnaiyan, R., & Deepaletchumi, N. (2024, February). Smart Measuring Device for Power with Digital Debiting System Using Mobile Application Tool. In 2024 4th International Conference on Innovative Practices in Technology and Management (ICIPTM) (pp. 1-6). IEEE.
  • Vlasa, I., Gligor, A., Dumitru, C. D., & Iantovics, L. B. (2020). Smart metering systems optimization for non-technical losses reduction and consumption recording operation improvement in electricity sector. Sensors, 20(10), 2947.
  • Dimkpa, V. C., Agba, J. C., & Ogu, V. U. Design and Construction of a GSM Based Energy Meter Reader and Load Control System.
  • Shunmugalatha, A., Balamurugan, K., Aravind, D. S., & ShanmugaSundarapandi, B. (2023, August). Design and Development of Autonomous Smart Energy Meter with Remote Management Control. In 2023 Second International Conference on Augmented Intelligence and Sustainable Systems (ICAISS)(pp. 1782-1785). IEEE.
There are 14 citations in total.

Details

Primary Language English
Subjects Electrical Circuits and Systems, Embedded Systems
Journal Section Articles
Authors

Şükrü Karaaslan 0000-0001-8511-0388

Mazhar Kayaoğlu 0000-0002-5807-9781

Mehmet Gedikpınar 0000-0002-1045-7384

Abdülkadir Şengür 0000-0003-1614-2639

Publication Date September 26, 2024
Submission Date December 29, 2023
Acceptance Date July 20, 2024
Published in Issue Year 2024

Cite

APA Karaaslan, Ş., Kayaoğlu, M., Gedikpınar, M., Şengür, A. (2024). Economic analysis of automatic meter reading on web based in Turkey using nginx load balancer technology. Türk Doğa Ve Fen Dergisi, 13(3), 31-36. https://doi.org/10.46810/tdfd.1411862
AMA Karaaslan Ş, Kayaoğlu M, Gedikpınar M, Şengür A. Economic analysis of automatic meter reading on web based in Turkey using nginx load balancer technology. TDFD. September 2024;13(3):31-36. doi:10.46810/tdfd.1411862
Chicago Karaaslan, Şükrü, Mazhar Kayaoğlu, Mehmet Gedikpınar, and Abdülkadir Şengür. “Economic Analysis of Automatic Meter Reading on Web Based in Turkey Using Nginx Load Balancer Technology”. Türk Doğa Ve Fen Dergisi 13, no. 3 (September 2024): 31-36. https://doi.org/10.46810/tdfd.1411862.
EndNote Karaaslan Ş, Kayaoğlu M, Gedikpınar M, Şengür A (September 1, 2024) Economic analysis of automatic meter reading on web based in Turkey using nginx load balancer technology. Türk Doğa ve Fen Dergisi 13 3 31–36.
IEEE Ş. Karaaslan, M. Kayaoğlu, M. Gedikpınar, and A. Şengür, “Economic analysis of automatic meter reading on web based in Turkey using nginx load balancer technology”, TDFD, vol. 13, no. 3, pp. 31–36, 2024, doi: 10.46810/tdfd.1411862.
ISNAD Karaaslan, Şükrü et al. “Economic Analysis of Automatic Meter Reading on Web Based in Turkey Using Nginx Load Balancer Technology”. Türk Doğa ve Fen Dergisi 13/3 (September 2024), 31-36. https://doi.org/10.46810/tdfd.1411862.
JAMA Karaaslan Ş, Kayaoğlu M, Gedikpınar M, Şengür A. Economic analysis of automatic meter reading on web based in Turkey using nginx load balancer technology. TDFD. 2024;13:31–36.
MLA Karaaslan, Şükrü et al. “Economic Analysis of Automatic Meter Reading on Web Based in Turkey Using Nginx Load Balancer Technology”. Türk Doğa Ve Fen Dergisi, vol. 13, no. 3, 2024, pp. 31-36, doi:10.46810/tdfd.1411862.
Vancouver Karaaslan Ş, Kayaoğlu M, Gedikpınar M, Şengür A. Economic analysis of automatic meter reading on web based in Turkey using nginx load balancer technology. TDFD. 2024;13(3):31-6.