ENERGY CONSERVATION USING IOT

Authors

  • RADHIKA Department of Electrical and Electronics Engineering, Velammal College of Engineering and Technology (Autonomous), Tamil Nadu, India.
  • IMMANUVEL Department of Electrical and Electronics Engineering, Velammal College of Engineering and Technology (Autonomous), Tamil Nadu, India.
  • DEVARAJ SOMASUNDAR Department of Electrical and Electronics Engineering, Velammal College of Engineering and Technology (Autonomous), Tamil Nadu, India.

DOI:

https://doi.org/10.55197/qjoest.v6i2.241

Keywords:

smart energy conservation, IoT-based energy monitoring, automated energy management, Arduino-Based smart systems

Abstract

Electricity conversion monitoring machine is an electronic device that video display units load voltage and cutting-edge or packs with numerous parameters. But, on the market could be very steeply-priced and now not appropriate for low-price embedded structures. Because the Arduino Uno is widely used for low-price microcontroller boards, smooth programming environment, and open-supply systems for building digital tasks, consequently, this take a look at makes a speciality of Arduino Uno primarily based power conversion monitoring machine with clever automation. This system consists of modern and voltage sensors to reveal and use the PIR sensor to gain the automation, an Arduino Uno microcontroller with wifi module and a liquid crystal show (liquid crystal display) to view the monitored analyzing.To expand this gadget, there are 3 targets to be completed.the connection between enter and output of the sensors must be derived mathematically. The mathematical expression acquired may be demonstrated by means of connecting and disconnecting the circuit with load and tracking the value of output sensors. Then, a whole prototype of the energy conversion monitoring system changed into evolved via connecting the lcd, current and voltage sensors to the Arduino Uno microcontroller and reference to PIR sensor to automate the unit with relay. Think view application is used to tracking the power consumption of the burden this app is open source and by means of soliciting for the personal channel the statistics can included and best seen to legal personal most effective.

References

[1] Ceglia, F., Esposito, P., Marrasso, E., Sasso, M. (2020): From smart energy community to smart energy municipalities: Literature review, agendas and pathways. – Journal of Cleaner Production 254: 14p.

[2] Cheng, Y., Yang, H., Xiao, J., Hou, X. (2014): Running state evaluation of electric energy meter. – In 2014 IEEE Workshop on Electronics, Computer and Applications, IEEE 3p.

[3] Das, H., Saikia, L.C. (2015): GSM enabled smart energy meter and automation of home appliances. – In 2015 International Conference on Energy, Power and Environment: Towards Sustainable Growth (ICEPE), IEEE 5p.

[4] Edward, O.O. (2014): An energy meter reader with load control capacity and secure switching using a password based relay circuit. – In 2014 Annual Global Online Conference on Information and Computer Technology, IEEE 6p.

[5] Kaiwen, C., Kumar, A., Xavier, N., Panda, S.K. (2016): An intelligent home appliance control-based on WSN for smart buildings. – In 2016 IEEE International Conference on Sustainable Energy Technologies (ICSET), IEEE 6p.

[6] Kim, H., Choi, H., Kang, H., An, J., Yeom, S., Hong, T. (2021): A systematic review of the smart energy conservation system: From smart homes to sustainable smart cities. – Renewable and Sustainable Energy Reviews 140: 17p.

[7] Kumar, A., Shwe, H.Y., Wong, K.J., Chong, P.H. (2017): Location-based routing protocols for wireless sensor networks: A survey. – Wireless Sensor Network 9(1): 25-72.

[8] Martinez Alonso, R., Plets, D., Fontes Pupo, E., Deruyck, M., Martens, L., Guillen Nieto, G., Joseph, W. (2018): IoT‐Based Management Platform for Real‐Time Spectrum and Energy Optimization of Broadcasting Networks. – Wireless Communications and Mobile Computing 14p.

[9] Mohammadi, M., Noorollahi, Y., Mohammadi-ivatloo, B., Hosseinzadeh, M., Yousefi, H., Khorasani, S.T. (2018): Optimal management of energy hubs and smart energy hubs-A review. – Renewable and Sustainable Energy Reviews 89: 33-50.

[10] Zhou, K., Fu, C., Yang, S. (2016): Big data driven smart energy management: From big data to big insights. – Renewable and Sustainable Energy Reviews 56: 215-225.

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Published

2025-06-27

Issue

Section

Articles

How to Cite

ENERGY CONSERVATION USING IOT. (2025). Quantum Journal of Engineering, Science and Technology, 6(2), 84-99. https://doi.org/10.55197/qjoest.v6i2.241