A Machine Learning Approach to Enhance Solar PV System Performance

Vijaykumar Kamble

doi:10.52783/anvi.v28.2717

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Published: Dec 11, 2024

DOI: https://doi.org/10.52783/anvi.v28.2717

Keywords:

Artificial Intelligence (AI), Machine Learning (ML), Deep Learning (DL), Supervised Learning, Unsupervised Learning, Data Analytics, Regression, Artificial Neural Networks (ANN), Deep Neural Networks (DNN), Solar PV

Vijaykumar Kamble, Suchita Ingle, Vaishali kuralkar, Tushar Waghmare

Abstract

The installed power generation capacity in India (as on 30-06-2022) is 403.8 GW out of which, 114 GW (about 28%) is contributed by renewable energy sources. The main contribution in renewable energy is attributed to Solar generation which is 57.7 GW and about 51 % of renewable energy installed capacity. It is required to optimize the performance of Solar PV Systems. The conventional methods are not adequate enough. The performance of the solar PV systems can be optimized with the use of Artificial Intelligence Machine Learning (AIML) based techniques. This paper presents AIML based novice methods of Data Analytics and performance optimization in respect of solar PV systems. The 300 KW solar PV system installed at AISSM Society; Pune is taken for reference.

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Vol. 28 No. 2s (2025)

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Articles

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