AUTOMATED IDENTIFICATION OF ROOFTOP SOLAR POWER PLANTS USING LARGE MULTIMODAL MODELS UNDER LIMITED VISUAL INFORMATION

• Date: 2026
• Author Affiliations: S. Shapovalova — National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”, Kyiv, Ukraine; S. Matіakh — Institute of Renewable Energy of the National Academy of Sciences of Ukraine, Kyiv, Ukraine; M. Holovakin — National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”, Kyiv, Ukraine
• Keywords: keywords
• Main Authors: Shapovalova , S., Matіakh , S., Holovakin , M.
• Format: Article
• Language: Ukrainian
• Published: Institute of Renewable Energy National Academy of Sciences of Ukraine 2026
• Subjects: aerial photograph; satellite image; solar panels; object detection in images; LLM; GPT; spatial resolution of aerial photographs; energy infrastructure.
• Online Access: https://ve.org.ua/index.php/journal/article/view/604
• Journal Title: Vidnovluvana energetika

A method for detecting rooftop photovoltaic systems in satellite and aerial imagery under degraded spatial resolution is proposed. Object detection is based on solving an image classification task using a large language model to reduce computational load and accelerate the identification process. Th...