BUILDING ROOFTOPS EXTRACTION FOR SOLAR PV POTENTIAL ESTIMATION USING GIS-BASED METHODS

10 citations as recorded by crossref.

1. Building Rooftop Extraction Using Machine Learning Algorithms for Solar Photovoltaic Potential Estimation E. Muhammed et al. https://doi.org/10.3390/su151411004
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3. Estimation of Solar Energy Resource From Digital Elevation Model Across Heterogeneous Landscapes of Zimbabwe N. Siziba et al. https://doi.org/10.1155/jge5/9262839
4. GIS-based feasibility study of photovoltaic potential and carbon reduction in Mashhad city M. Hashemi et al. https://doi.org/10.1016/j.rineng.2026.113436
5. Study of a double-acting solar collector for use in the absorption cooling system in hot regions S. Camara & A. Sulin https://doi.org/10.1016/j.tsep.2022.101286
6. City-scale rooftop retrofit prioritization: linking thermal performance, energy impacts, urban morphology, and population exposure A. Kazemian & C. Xiang https://doi.org/10.1016/j.apenergy.2025.127304
7. Methodology for Preliminary Evaluation of Photovoltaic Projects in Colombia Through Integration of Georeferenced Data and 3D Models (LiDAR) R. Portilla-Garcia et al. https://doi.org/10.3390/app16063073
8. Improving photovoltaic power forecasting accuracy: a comparative study of hybrid models and PVGIS M. Mardani et al. https://doi.org/10.1016/j.ijepes.2025.111534
9. Solar Potential Analysis of Bus Shelters in Urban Environments: A Study Case in Ávila (Spain) M. Sánchez-Aparicio et al. https://doi.org/10.3390/rs15215189
10. Solar Energy Based Model for Decarbonization: A Case Study in Istanbul B. Kartal & R. Alkan https://doi.org/10.26833/ijeg.1648588