BAT inspired regression model for prediction of power loss in solar panel

¹ KIIT University, Bhubaneswar, Odisha, India

Email: [email protected] 

*Corresponding Author: Ritu Maity, Email: [email protected]

Solar energy is an increasingly popular and environmentally friendly source of renewable energy. The performance of solar panels can be significantly affected by various factors, including shading or shadowing. The shadowing effect on solar panels has been a topic of significant interest and research in the field of solar energy. Shadows cast on solar panels can have a detrimental impact on their performance, affecting their efficiency and power output. Shadows can cause hotspots, voltage drops, and current imbalances, negatively impacting the overall efficiency and output of the solar panel system. In this paper, we have used a bat inspired model to find optimum parameters which are further used in a regression model to predict the amount of power loss that can happen with the area of cells exposed to shadow in a solar panel. This model can help further researchers to know the exact amount of power loss from the shadow effect and accordingly, they can plan to mitigate the issue.

Shadowing, Machine learning, Solar panel, Regression, Cell area, BAT algorithm

Ritu Maity (2023). BAT inspired regression model for prediction of power loss in solar panel. Journal of Artificial Intelligence and Systems, 5, 125–138. https://doi.org/10.33969/AIS.2023050109.

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