conference-paper Open access

SolarNova AI: Dynamic Dust Detection, Cleaning, and Panel Orientation for Enhanced Solar Efficiency with AI Technologies

  • Algorithms for intelligent systems
  • Springer Nature
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Abstract

SolarNova AI introduces a pioneering methodology aimed at maximizing solar panel efficiency by employing artificial intelligence (AI) technologies for dynamic dust detection, cleaning, and panel orientation optimization. This innovative system leverages advanced image processing techniques to identify and quantify dust and dirt accumulation on solar panels, facilitating prompt and autonomous cleaning actions. Furthermore, sophisticated AI algorithms continuously monitor environmental variables to dynamically adapt panel orientation, ensuring optimal energy capture under varying conditions. Through a comprehensive evaluation, our research showcases the efficacy of the proposed system in significantly enhancing solar efficiency while simultaneously preserving panel cleanliness. This amalgamation of AI-driven strategies offers a promising avenue for the advancement of sustainable energy technologies, with substantial implications for renewable energy adoption and environmental conservation efforts.

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Publication details

DOI
10.1007/978-981-96-0228-5_14
OpenAlex
W4408634723
Document type
conference-paper
Language
EN
Source
Algorithms for intelligent systems
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