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  Published Paper Details:

  Paper Title

Enhancing smart grids with new iot and cloud- based smart meter to predict the energy consumption with time series

  Authors

  Mallavarapu Lakshmanudu,  Inagala Vinay,  Mallavarapu Manikanta,  Pagolu Uma Naga Bala Koteswara Rao

  Keywords

Smart grid,smart meter, energy balance, power outage and IOT

  Abstract


More energy-consuming devices such as household electronics and more production facilities worldwide are causing increases in electricity demand and energy prices. The public service has difficulty maintaining the energy balance. These problems can be overcome by rapidly transforming the traditional electricity grid into a smart grid (SG) infrastructure. Smart meters (SMs) are an essential component of SGs and have vital tasks. This study has developed an Internet of Things (IoT) based SM that can reach high data rate of 38,400 bps or fre- quency of 160 MHz, using SQL Server for data storage and bidirectional data transmission with 174 W total load. In this way, consumers can track their energy consumption hourly, daily, and monthly, learn how much they spent on consumption, and receive warnings for a power outage. A fuzzy system and mobile application software are integrated into the SM structure for all these purposes. The designed device is believed to contribute significantly to the spread of SGs due to all these features.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2405636

  Paper ID - 260309

  Page Number(s) - f887-f895

  Pubished in - Volume 12 | Issue 5 | May 2024

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  Mallavarapu Lakshmanudu,  Inagala Vinay,  Mallavarapu Manikanta,  Pagolu Uma Naga Bala Koteswara Rao,   "Enhancing smart grids with new iot and cloud- based smart meter to predict the energy consumption with time series", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.12, Issue 5, pp.f887-f895, May 2024, Available at :http://www.ijcrt.org/papers/IJCRT2405636.pdf

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ISSN: 2320-2882
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Journal Starting Year (ESTD) : 2013
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ISSN and 7.97 Impact Factor Details


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ISSN
ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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