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The study focused on computing the energy consumption (based on average occupancy levels, building heights and its usage types), the distribution of solar irradiance parameters (land surface temperature and global horizontal irradiance), and urban shadows using advanced remote sensing and spatial analysis techniques in order to identify the suitable rooftops for solar panel installation. The economic and environmental benefits of solar panel installation were also assessed using python tools and design of an interactive web map interface.