Evaluation of Solar Power Generation, and Prediction Using Machine Learning

Kamlesh Gupta, Firoz Mohammed, Namrata Nebhnani, Priya Pal

Evaluation of Solar Power Generation, and Prediction Using Machine Learning

Authors

Kamlesh Gupta, Firoz Mohammed, Namrata Nebhnani, Priya Pal

Keywords:

machine learning, photovoltaic generation, forecasting, neural networks, regression

Abstract

Solar photovoltaic (PV)Power system backbone of therenewable energy system. Energy system is depended on weather
conditions such as temperature and radiation intensity. The role

References

] S. S. Raghuwanshi and Vikas Khare, “Sizing and modelling of standalone photovoltaic water pumping system for irrigation”, Energy &

Environment (Sage Pub), Vol. 29(4) 473–491, 2018. DOI: 10.1177/0958305X17752739.

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Published

2020-04-15

How to Cite

Kamlesh Gupta, Firoz Mohammed, Namrata Nebhnani, Priya Pal. (2020). Evaluation of Solar Power Generation, and Prediction Using Machine Learning . Journal of Computational Analysis and Applications (JoCAAA), 28(4), 32–36. Retrieved from https://eudoxuspress.com/index.php/pub/article/view/3285