To 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.

IOT, solar energy, scada, O&M

[1] T.M. Razykov, ‘Solar photovoltaic electricity: Current status and future prospects’, Solar Energy 85
(2011) 1580–1608
[2] S. Chinnammai, ‘An Economic Analysis of Solar Energy’, Journal of Clean Energy Technologies, Vol. 1, No. 1, January 2013
[3] A. Garro, ‘Reliability Analysis of Residential Photovoltaic Systems’, International Conference on
Renewable Energies and Power Quality (ICREPQ’11)
[4] International Journal of Applied Engineering Research ISSN 0973-4562 Volume 11, Number 7 (2016) pp 4803-4806 © Research India Publications. http://www.ripublication.com
[5] EMMVEE PV Pvt Ltd (EPPPL PVT LTD) New International Airport Road Bangalore.
[6] “Smart Grid Security Issues and Challenges for IOT”, NCRATCE-2016, National Conference at AIT Chickmangalore.
[7] “A Review on Biologically Inspired Approaches to Security of Internet of Things to ICEEOT 2016, International Conference at Chennai with IEEE catalog 978-1-4673-9939-/16/$31.00
[8] “Performance Comparison of ModRED AQM with Round Robin Scheduling”, International Journal of Advanced Research in Computer Engineering & Technology (IJARCET)- ISSN: 2278 – 1323,2014.
[9] “Implementation of Mod RED AQM Technique for Wireless Networks with Strict Priority Scheduling”, International Journal of Advanced Research in Computer Engineering &Volume 3 Issue 8 Technology (IJARCET)- ISSN: 2278 –1323,2014
[10] “Analyzing Markin Mod RED Active Queue Management Scheme on TCP Applications”, 2012
International Conference on Information and Network Technology (ICINT 2012) IPCSIT vol. 37 (2012) © (2012) IACSIT Press, Singapore-ISSN: 2010-460X, 2014.
[11] “Analyzing and Comparison of Marking Mod RED Active Queue Management Scheme on TCP
Applications”, International Conference on Communications and Signal Processing (ICCSP-2012)
Sponsored by AICTE- on 2nd- 4th April, 2012at QIS College of Engineering , Ongole,(A.P).
[12] “Performance Comparison of Active Queue Management Techniques”, IJCSNS International Journal of Computer Science and Network Security,2009