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  Published Paper Details:

  Paper Title

IOT APPROACH USING AI FOR MONITORING AND CONTROL PHOTOVOLTAIC SYSTEMS

  Authors

  Suraj Shankarrao Damre,  Dr.S.R.Halhalli,  Dr.Prasadu Peddi

  Keywords

Keywords: IoT, Solar Energy, Machine Learning, PLC, SCADA etc.

  Abstract


Conservative gas supplies impact emissions from traditional energy sources such as carbon dioxide (CO2). These gas emissions threaten global warming and affect the environment and biodiversity. These traditional structures are limited. Then there is the issue of the energy crisis. Because the sun is the best source of energy in the universe. In addition, solar energy is free and unlimited parameters do not damage and can be used for more sophisticated floors. Solar energy also helps improve the security of the power grid. Currently, many companies believe that the solar industry has financial support. Photovoltaic systems require this facility to systematically support the disposal of power generation. The proposed method is a real-time method useful for controlling and monitoring solar power plants using IoT. Solar energy production activity is not accessible or monitored by conventional PLC technology. For this reason, Internet of Things (IoT) and machine learning approaches are being introduced to manage solar energy systems. The Internet of Things is a combination of physical technologies using the cloud. The main requirements are the heterogeneous network of manufacturing object communication required for each object, and the processing power and security of each object/data processor in each IoT element. This new method allows us to monitor and improve our solar system. The rotation of the solar panel can be controlled by the slave according to the direction of the sun. This improves power generation efficiency. This was accomplished by creating a solar power system that builds analog circuits for specific resolutions and currents, and creating a web server to monitor the data used by the graphics device. The web server is located in a WAN (network area) and can be accessed from anywhere in the world with an internet connection

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2303543

  Paper ID - 232848

  Page Number(s) - e786-e794

  Pubished in - Volume 11 | Issue 3 | March 2023

  DOI (Digital Object Identifier) -   

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

  E-ISSN Number - 2320-2882

  Cite this article

  Suraj Shankarrao Damre,  Dr.S.R.Halhalli,  Dr.Prasadu Peddi,   "IOT APPROACH USING AI FOR MONITORING AND CONTROL PHOTOVOLTAIC SYSTEMS", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.11, Issue 3, pp.e786-e794, March 2023, Available at :http://www.ijcrt.org/papers/IJCRT2303543.pdf

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


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