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Rooftop photovoltaic solar potential mapping using machine learning algorithms

delete2026-07-18
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OA
AI
E
Elahe Nasehzadeh
P
Parham Pahlavani *
A
Anita Nasehzadeh
O
Omid Ghorbanzadeh *
T
Thomas Blaschke
DOI：10.1016/j.rineng.2026.112067delete
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摘要

摘要

En 中文
• 数据驱动建模实现了高精度城市屋顶太阳能潜力评估。• 特征选择减少了多重共线性并提高了模型泛化能力。• 考虑阴影的建模实现了1米分辨率的光伏适宜性制图。
Keyword:
PV systems
Renewable energy
Solar panel
Solar potential estimation
Machine learning regression
Exploring associational rules
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期刊

Results in Engineering 封面图
Results in Engineering
IF:
7.9
论文数:
1.1W
被引数:
1.7W

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I
international campus
学者数:
3
论文数: 2
被引数: 0
U
university of salzburg
学者数:
150
论文数: 86
被引数: 0
U
university of tehran
学者数:
2.5K
论文数: 1.2K
被引数: 0
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引用论文

引用论文

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