Efficient Energy Management for a Proposed Integrated Internet of Things-Electric Smart Meter (2IOT-ESM) System
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Abstract
In this work, an efficient energy management (EEM) approach is proposed to merge IoT technology to enhance electric smart meters by working together to satisfy the best result of the electricity customer's consumption. This proposed system is called an integrated Internet of things for electrical smart meter (2IOT-ESM) architecture. The electric smart meter (ESM) is the first and most important technique used to measure the active power, current, and energy consumption for the house’s loads. At the same time, the effectiveness of this work includes equipping ESM with an additional storage capacity that ensures that the measurements are not lost in the event of a failure or sudden outage in WiFi network. Then then these measurements are sent using the internet of thing (IoT) technology to Google Firebase cloud, where the electric consumer's service center is located to store, analyze the measured data, and detect cases of energy penetration when it exceeds 53 and the cases of the electrical energy theft if any below 20 and then take the appropriate decision about it. Finally, an electric smart metering application (ESM-app) is designed and implemented to read and pull data information from the Google firebase cloud and then send the electric bill to the end consumer, and sending alert messages to the thieves and electrical power hackers to prohibit them if something wrong has detected.
In this work, an efficient energy management (EEM) approach is proposed to merge IoT technology to enhance electric smart meters by working together to satisfy the best result of the electricity customer's consumption. This proposed system is called an integrated Internet of things for electrical smart meter (2IOT-ESM) architecture. The electric smart meter (ESM) is the first and most important technique used to measure the active power, current, and energy consumption for the house’s loads. At the same time, the effectiveness of this work includes equipping ESM with an additional storage capacity that ensures that the measurements are not lost in the event of a failure or sudden outage in WiFi network. Then then these measurements are sent using the internet of thing (IoT) technology to Google Firebase cloud, where the electric consumer's service center is located to store, analyze the measured data, and detect cases of energy penetration when it exceeds 53 and the cases of the electrical energy theft if any below 20 and then take the appropriate decision about it. Finally, an electric smart metering application (ESM-app) is designed and implemented to read and pull data information from the Google firebase cloud and then send the electric bill to the end consumer, and sending alert messages to the thieves and electrical power hackers to prohibit them if something wrong has detected.
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References
• Araya, S., and Rakesh, N., 2019. Review on Design of Residential IoT based Smart Energy Meters.
• Govindarajan, R., Meikandasivam, S., and Vijayakumar, D., 2019. Cloud computing based smart energy monitoring system. International Journal of Scientific and Technology Research, 8(10), pp. 886-890.
• Abdulredah, S.H., and Kadhim, D. J., 2020. New Approaches of Cloud Services Access using Tonido Cloud Server for Real-Time Applications. Journal of Engineering, 26(8), pp.83-99.
• Kong, X., Zhang, X., Lu, N., Ma, Y., and Li, Y., 2021. Online Smart Meter Measurement Error Estimation Based on EKF and LMRLS Method. IEEE Transactions on Smart Grid.
• Vinay, M. S., Moha, N., and Pradeepa, H., 2020. Iot Based Smart Energy Metering And Billing System. Solid State Technology, 63(6), pp. 2825-2837.
• Ramadhan, M. F., 2018. PREPAID ELECTRIC KWH METER MONITORING SYSTEM (Doctoral dissertation, President University), pp. 1-42.
• Bento, A. C., 2020. Nextion Tft Development an Experimental Survey for Internet of Things Projects. International Journal, 8(11), pp. 1-9.
• Muralidhara, S., Hegde, N., and Rekha, P. M., 2020. An internet of things-based smart energy meter for monitoring device-level consumption of energy. Computers & Electrical Engineering, 87, 106772.
• Kurnia, Y., and Sie, J. L., 2019. Prototype of Warehouse Automation System Using Arduino Mega 2560 Microcontroller Based on Internet of Things. bit-Tech, 1(3), pp. 122-128.
• Pakanati, R., and Ravva, G., 2018. Using the Arduino Platform for Controlling AC Appliances with GSM Module and Relay. i-manager's Journal on Mobile Applications and Technologies, 5(1), pp. 1-29.
• Rajagiri, A. K., Ajitha, A., and Thalluri, A. K., 2021. Development of an IoT based solution for Smart Distribution Systems. In 2021 International Conference on Sustainable Energy and Future Electric Transportation (SEFET), pp. 1-6. IEEE.
• Hameed, A. A., Sultan, A. J., and Booneya, M. F., 2020. Design and Implementation a New Real Time Overcurrent Relay Based on Arduino MEGA. In IOP Conference Series: Materials Science and Engineering, 881(1), pp. 1-10, IOP Publishing.
• Chen, Y. Y., Lin, Y. H., Kung, C. C., Chung, M. H., and Yen, I., 2019. Design and implementation of cloud analytics-assisted smart power meters considering advanced artificial intelligence as edge analytics in demand-side management for smart homes. Sensors, 19(9), pp. 1-26.
• Ramkumar, R., Karthikeyan, B., Rajkumar, A., Venkatesh, V., and Praveen, A. A. A., 2020. Design and Implementation of IOT Based Smart Library Using Android Application. Biosc. Biotech. Res. Comm. special Issue, 13, pp. 44-47.
• Jabbar, S.Q., Kadhim, D.J., and Li, Y., 2018. Developing a video buffer framework for video streaming in cellular networks. Wireless Communications and Mobile Computing.
• Wilcox, T., Jin, N., Flach, P., and Thumim, J., 2019. A Big Data platform for smart meter data analytics. Computers in Industry, 105, pp. 250-259.
• Ahmet, T. O. P., and GÖKBULUT, M., 2021. Android Application Design with MIT App Inventor for Bluetooth Based Mobile Robot Control.