Remote sensing of photovoltaic scenarios: Techniques, applications and future directions

Q Chen, X Li, Z Zhang, C Zhou, Z Guo, Z Liu, H Zhang - Applied Energy, 2023 - Elsevier
Develo** solar photovoltaic (PV) systems is an effective way to address the problems of
limited fossil fuel reserves, soaring world energy demand and global climate change. The …

Multi-scale solar radiation and photovoltaic power forecasting with machine learning algorithms in urban environment: A state-of-the-art review

J Tian, R Ooka, D Lee - Journal of Cleaner Production, 2023 - Elsevier
Solar energy has been rapidly utilized in urban environments owing to its significant
potential to fulfill the energy demand. The precise forecasting of solar energy, including solar …

Estimating the spatial distribution of solar photovoltaic power generation potential on different types of rural rooftops using a deep learning network applied to satellite …

T Sun, M Shan, X Rong, X Yang - Applied Energy, 2022 - Elsevier
Rooftop photovoltaic (PV) power generation is an important form of solar energy
development, especially in rural areas where there is a large quantity of idle rural building …

Advances and prospects on estimating solar photovoltaic installation capacity and potential based on satellite and aerial images

H Mao, X Chen, Y Luo, J Deng, Z Tian, J Yu… - … and Sustainable Energy …, 2023 - Elsevier
Solar photovoltaic (PV) system, as one kind of the most promising renewable energy
technologies, plays a key role in reducing carbon emissions to achieve the targets of global …

Estimating building energy efficiency from street view imagery, aerial imagery, and land surface temperature data

K Mayer, L Haas, T Huang, J Bernabé-Moreno… - Applied Energy, 2023 - Elsevier
Current methods to determine the energy efficiency of buildings generally require on-site
visits of certified energy auditors which makes the process slow, costly, and geographically …

Development assessment of regional rooftop photovoltaics based on remote sensing and deep learning

Q Qi, J Zhao, Z Tan, K Tao, X Zhang, Y Tian - Applied Energy, 2024 - Elsevier
Assessing the development of rooftop photovoltaic (PV) plays a positive role in promoting
the deployment of solar installations. In response to the problem that previous studies did …

[HTML][HTML] ETHOS. PASSION: An open-source workflow for rooftop photovoltaic potential assessments from satellite imagery

R Pueblas, P Kuckertz, JM Weinand, L Kotzur… - Solar Energy, 2023 - Elsevier
The assessment of rooftop photovoltaic potential has become increasingly accurate due to
the expanding availability of satellite imagery and improvements in computer vision …

[HTML][HTML] SolarNet: A convolutional neural network-based framework for rooftop solar potential estimation from aerial imagery

Q Li, S Krapf, Y Shi, XX Zhu - … Journal of Applied Earth Observation and …, 2023 - Elsevier
Solar power is a clean and renewable energy source. Promoting solar technology can not
only offer all people affordable, reliable, and modern energy, but also mitigate energy …

[HTML][HTML] From roofs to renewables: Deep learning and geographic information systems insights into a comprehensive urban solar photovoltaic assessment for …

B Gui, L Sam, A Bhardwaj - Energy 360, 2024 - Elsevier
As urban solar photovoltaic (PV) construction emerges as a leading renewable energy
technology, there is a growing focus on its implementation. However, the challenges of …

[HTML][HTML] Deep learning-based framework for city-scale rooftop solar potential estimation by considering roof superstructures

Q Li, S Krapf, L Mou, Y Shi, XX Zhu - Applied Energy, 2024 - Elsevier
Solar energy is an environmentally friendly energy source. Identifying suitable rooftops for
solar panel installation contributes to not only sustainable energy plans but also carbon …