Improving the Performance of Solar Power Plants through IOT and Predictive Data Analytics

Authors

  • Begum S Dept of CSE, PDIT, Hospet, India
  • Banu R Dept of ISE, GSSS, Mysore, India

DOI:

https://doi.org/10.26438/ijcse/v6i9.276279

Keywords:

IOT, solar energy, scada, O&M

Abstract

IOTTo increase the utilization and development of solar energy which is Eco friendly. Weather Predication is done in order to improve the performance and maintain its consistency for long term to deliver secure and reliable power while managing uncertainties. In order to enhance and improve the performance, preventive maintenance of solar power plant is done by implementing Operation & Maintenance (O&M)activities using predictive analytics and supervisory control and data acquisition (SCADA). With the help of internet(cloud)along with IOT devices, Operation and maintenance, Supervisory Control And Data Acquisition the preventive maintenance can be improved. Many industries in India are working towards increasing the performance ratio of solar power plants in large scale. This paper presents a comparative study to improve the performance of solar power plants through IOT and predictive analytics.

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Published

2018-09-30
CITATION
DOI: 10.26438/ijcse/v6i9.276279
Published: 2018-09-30

How to Cite

[1]
S. Begum and R. Banu, “Improving the Performance of Solar Power Plants through IOT and Predictive Data Analytics”, Int. J. Comp. Sci. Eng., vol. 6, no. 9, pp. 276–279, Sep. 2018.