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The billing process of electricity consumption currently used is very long process and requires lot of man power. The energy billing in India is error prone. Going to each and every consumer’s house and generating the bill is a laborious task and requires lot of time. Errors get introduced at every stage of energy billing like errors with electro-mechanical meters, human errors while noting down the meter reading and error while processing the paid bills and the due bills. There are many cases where the bill is paid and then is shown as a due amount in the next bill. There is no proper way to know the consumer's maximum demand, usage details, losses in the lines and power theft. If any consumer did not pay the bill, the operator needs to go to their houses to disconnect the power supply. These processes are repetitive and take so much time. For overcoming all the difficulties present in the system a fully automated billing system is proposed i.e. “Prepaid Power Billing Using Adaptive Meter”. In the proposed system, electronic energy meter is replaced by Adaptive meter which includes both metering of the power consumed and prepaid system. The billing process is prepaid energy billing in which customer has to pay first and then use it. This system also implements an automated system which can charge different amounts for power consumption during different times. The prepaid system uses method of GSM based recharging. The recharging can be done from any remote place without accessing the energy meter physically.
Keywords:
Energy Meters, Internet of Things, ESP8266, Microcontroller
Cite Article:
"Prepaid Energy Meter based on IOT ", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.4, Issue 3, page no.16 - 18, March-2019, Available :http://www.ijrti.org/papers/IJRTI1903004.pdf
Downloads:
000204763
ISSN:
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator