MODERN APPROACHES TO ASSESSING THE POTENTIAL OF PHOTOVOLTAIC SYSTEMS ON BUILDING ROOFTOPS USING GIS, LIDAR, AND MACHINE LEARNING
In the context of the global transition to renewable energy sources (RES), solar energy plays a key role in the energy strategies of many countries, including Uzbekistan. One promising direction is the installation of photovoltaic (PV) systems on building rooftops, which allows for the efficient use of urban areas for electricity generation. However, assessing the solar potential of rooftops is a complex task that requires considering multiple factors, such as roof geometry, shading, orientation, and tilt angle. This article provides an overview of modern methods for assessing the solar potential of rooftops using geographic information systems (GIS), LiDAR data, and machine learning.
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-03-14
- DOI
- https://doi.org/10.5281/zenodo.15023706
- Primary Topic
- Engineering and Agricultural Innovations
- Type
- article
- Field-Weighted Citation Impact
- 0.00