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A Proficient and Smart Electricity Billing Management System

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Advances in Decision Sciences, Image Processing, Security and Computer Vision (ICETE 2019)

Part of the book series: Learning and Analytics in Intelligent Systems ((LAIS,volume 3))

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Abstract

Electricity is an energy that play a major role in human life. In day to day life, each and every device from machinery to wrist watch everything works on electricity. It is the most basic requirement next to food, shelter, and clothing. From the past decade’s lot of changes took place in electricity departments but even now they are using manual billing system. This system has a wide range of disadvantages like malpractices are done while billing, escaping from punishment if any late payments, manpower for billing and collecting bills and wastage of paper billing. And moreover, if a fire accident or a technical problem arises the whole lane (transformer) will be terminated from power supply this may cause an inconvenience to the peer consumers too. Here, we are concerned about the economic loss that arises due to the manual billing system. In the manual billing system, every month end or for a couple of months bill is generated. An employee from the electricity department comes to each and every house for billing the meters based on the number of units the consumer has consumed. Hence, In this paper, we propose and discuss a new adaptive mechanism which reduces all the above-mentioned losses.

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References

  1. Mohale VP, Hingmire AG, Babar DG (2015) Ingenious energy monitoring, control, and management of electrical supply. In: 2015 international conference on energy systems and applications, Pune, pp 254–257

    Google Scholar 

  2. Kanthimathi K et al (2015) GSM based automatic electricity billing system. Int J Adv Res Trends Eng Technol (IJARTET) 2(7):16–21

    Google Scholar 

  3. Mahajan K, Jaybhave D, Nagpure N, Shirsat B (2016) A novel method for automatic electricity billing system using Ad-Hoc networks. In: 2016 international conference on global trends in signal processing, information computing and communication (ICGTSPICC), Jalgaon, pp 539–542

    Google Scholar 

  4. Merza AM, Nasr MS (2015) Electrical energy billing system based on smart meter and GSM. Int J Appl Eng Res 10:42003–42012

    Google Scholar 

  5. Rastogi S, Sharma M, Varshney P (2016) Internet of Things based smart electricity meters. Int J Comput Appl (0975 – 8887) 133(8):13–16

    Google Scholar 

  6. Rathnayaka MRMSB, Jayasinghe IDS et al (2013) Mobile based electricity billing system (MoBEBIS). Int J Sci Res Publ 3(4):1–5. ISSN: 2250-3153

    Google Scholar 

  7. Tamarkin TD (1992) Automatic meter reading. Public Power Mag 50(5):934–937

    Google Scholar 

  8. Jain A, Kumar D, Kedia J (2012) Smart and intelligent GSM based automatic meter reading system. Int J Eng Res Technol (IJERT) 2(3):1–6. ISSN: 2278-0181

    Google Scholar 

  9. “Handbook for Electricity Metering” by The Edison Electric Institute, The Bible of electric meters, continuously updated since electricity was discovered

    Google Scholar 

  10. Shoults RR, Chen MS, Domijan A (1987) The energy systems research center electric power system simulation laboratory and energy management system control center. IEEE Power Eng Rev PER-7(2):49–50

    Google Scholar 

  11. Rawat N, Rana S, Yadav B, Yadav N (2016) A review paper on the automatic energy meter reading system. In: 2016 3rd international conference on computing for sustainable global development (INDIACom), New Delhi, pp 3254–3257

    Google Scholar 

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Correspondence to P. Pramod Kumar .

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Pramod Kumar, P., Sagar, K. (2020). A Proficient and Smart Electricity Billing Management System. In: Satapathy, S.C., Raju, K.S., Shyamala, K., Krishna, D.R., Favorskaya, M.N. (eds) Advances in Decision Sciences, Image Processing, Security and Computer Vision. ICETE 2019. Learning and Analytics in Intelligent Systems, vol 3. Springer, Cham. https://doi.org/10.1007/978-3-030-24322-7_20

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