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IoT-based Industrial Energy Management System

Francis Makwinja*, Silvester Shaban Dafter**, Brian Khoriyo***, Chikumbutso Chirwa****, Gift Mpehera*****, Glorindal Selvam******

*-****** DMI-St. John the Baptist University, Mangochi, Malawi.

Periodicity:April - June'2023
DOI : https://doi.org/10.26634/jit.12.2.20057

Abstract

The ESCOM (Electricity Supply Corporation of Malawi) currently faces difficulties in monitoring and controlling critical parameters, such as electricity generation, transmission, and distribution in real-time. Inefficient energy management, lack of fault detection mechanisms, manual interventions, and limited data-driven decision-making capabilities are hindering ESCOM's ability to deliver reliable and efficient electricity services to the people of Malawi. The main objective of this work is to address the pressing challenges faced by ESCOM (Electricity Supply Corporation of Malawi) in effectively managing and optimizing electricity distribution within their infrastructure. This paper introduces an IoT-based industrial management system designed to tackle these challenges and enhance ESCOM's operational efficiency, energy management, and overall performance.

Keywords

IoT, Industrial Management, ESCOM, Energy Management, Real-time Monitoring, Data Analytics.

How to Cite this Article?

Makwinja, F., Dafter, S. S., Khoriyo, B., Chirwa, C., Mpehera, G., and Selvam, G. (2023). IoT-based Industrial Energy Management System. i-manager’s Journal on Information Technology, 12(2), 17-25. https://doi.org/10.26634/jit.12.2.20057

References

[1]. Bagdadee, A. H., Zhang, L., & Remus, M.S.H. (2020). A brief review of the IoT-based energy management system in the smart industry. Artificial Intelligence and Evolutionary Computations in Engineering Systems, 443-459.

[2]. De Matos, J. G., e Silva, F. S., & Ribeiro, L. A. D. S. (2014). Power control in AC isolated microgrids with renewable energy sources and energy storage systems. IEEE Transactions on Industrial Electronics, 62(6), 3490-3498.

[3]. Han, J., Choi, C. S., Park, W. K., Lee, I., & Kim, S. H. (2014). Smart home energy management system including renewable energy based on ZigBee and PLC. IEEE Transactions on Consumer Electronics, 60(2), 198-202.

[4]. Huang, W., Wu, D., & Ren, J. (2009, December). An outlier mining algorithm in high-dimension based on single-parameter-k local density. In 2009 Fourth International Conference on Innovative Computing, Information and Control (ICICIC) (pp. 1192-1195). IEEE.

[5]. Huiyong, W., Jingyang, W., & Min, H. (2013, January). Building a smart home system with WSN and service robot. In 2013 Fifth International Conference on Measuring Technology and Mechatronics Automation (pp. 353-356). IEEE.

[6]. JeyaPadmini, J., & Kashwan, K. R. (2015, April). Effective power utilization and conservation in smart homes using IoT. In 2015 International Conference on Computation of Power, Energy, Information and Communication (ICCPEIC) (pp. 0195-0199). IEEE.

[7]. Kumar, S. (2014). Ubiquitous smart home system using android application. arXiv.

[8]. Mohanty, S., Panda, B. N., & Pattnaik, B. S. (2014, March). Implementation of a web of things based smart grid to remotely monitor and control renewable energy sources. In 2014 IEEE Students' Conference on Electrical, Electronics and Computer Science (pp. 1-5). IEEE.

[9]. Qiu, B., Jia, C., & Shen, J. (2006, June). Local outlier coefficient-based clustering algorithm. In 2006 6th World Congress on Intelligent Control and Automation, 2, 5859-5862. IEEE.

[10]. Sakr, M., Atwa, W., & Keshk, A. (2018, December). Sub-grid partitioning algorithm for distributed outlier detection on big data. In 2018 13th International Conference on Computer Engineering and Systems (ICCES) (pp. 252-257). IEEE.

[11]. Saleem, M. U., Usman, M. R., & Shakir, M. (2021). Design, implementation, and deployment of an IoT based smart energy management system. IEEE Access, 9, 59649-59664.

[12]. Tsirmpas, C., Anastasiou, A., Bountris, P., & Koutsouris, D. (2015). A new method for profile generation in an internet of things environment: an application in ambient-assisted living. IEEE Internet of Things Journal, 2(6), 471-478.

[13]. Wei, M., Hong, S. H., & Alam, M. (2016). An IoT-based energy-management platform for industrial facilities. Applied Energy, 164, 607-619.

[14]. Yu, B., Song, M., & Wang, L. (2009, July). Local isolation coefficient-based outlier mining algorithm. In 2009 International Conference on Information Technology and Computer Science, 2, 448-451. IEEE.

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