Modern Approaches to Assessing the Potential of Photovoltaic Systems on Building Rooftops Using Gis, Lidar, and Machine Learning
Year: 2025
Type: article
Abstract: 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.
Author: Rakhmatov, Odiljon
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W6911787818
FWCI:
Cites:
Cited by:
Related to: