Improving the resolution of solar energy potential maps derived from global DSMs for rooftop solar panel placement using deep learning
This study focuses on generating high-resolution annual solar energy potential maps (ASMs) using global Digital Elevation Models (DEMs) to aid in solar panel placement, especially in urban areas. A framework was developed to enhance the resolution of these maps. Initially, the accuracy of ASMs deriv...
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Main Authors: | , |
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Format: | Article |
Language: | English |
Published: |
Elsevier
2025-01-01
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Series: | Heliyon |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2405844024172246 |
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