[HTML][HTML] Emerging information and communication technologies for smart energy systems and renewable transition
Since the energy sector is the dominant contributor to global greenhouse gas emissions, the
decarbonization of energy systems is crucial for climate change mitigation. Two major …
decarbonization of energy systems is crucial for climate change mitigation. Two major …
Remote sensing of photovoltaic scenarios: Techniques, applications and future directions
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 …
limited fossil fuel reserves, soaring world energy demand and global climate change. The …
Carbon mitigation potential afforded by rooftop photovoltaic in China
Rooftop photovoltaics (RPVs) are crucial in achieving energy transition and climate goals,
especially in cities with high building density and substantial energy consumption …
especially in cities with high building density and substantial energy consumption …
Vectorized rooftop area data for 90 cities in China
Reliable information on building rooftops is crucial for utilizing limited urban space
effectively. In recent decades, the demand for accurate and up-to-date data on the areas of …
effectively. In recent decades, the demand for accurate and up-to-date data on the areas of …
Enhancing PV panel segmentation in remote sensing images with constraint refinement modules
Incorrect predictions or underestimation of a city's solar potential can result from neglecting
common features of photovoltaic (PV) panels from remote sensing images. This paper …
common features of photovoltaic (PV) panels from remote sensing images. This paper …
[HTML][HTML] Deep solar PV refiner: A detail-oriented deep learning network for refined segmentation of photovoltaic areas from satellite imagery
To estimate electricity generation and evaluate the socio-economic effects of solar
photovoltaic (PV) systems, it is critical to calculate the installed PV areas and quantify the …
photovoltaic (PV) systems, it is critical to calculate the installed PV areas and quantify the …
General generative AI-based image augmentation method for robust rooftop PV segmentation
Rooftop photovoltaic (PV) segmentation based on remote sensing images is highly applied
in solar potential assessment and prediction. Still, such methods often feature dataset …
in solar potential assessment and prediction. Still, such methods often feature dataset …
TransPV: Refining photovoltaic panel detection accuracy through a vision transformer-based deep learning model
The increasing need to develop renewable energy sources to combat climate change has
led to a significant rise in demand for photovoltaic (PV) installations. Consequently …
led to a significant rise in demand for photovoltaic (PV) installations. Consequently …
[HTML][HTML] GIScience can facilitate the development of solar cities for energy transition
The energy transition is increasingly being discussed and implemented to cope with the
growing environmental crisis. However, great challenges remain for effectively harvesting …
growing environmental crisis. However, great challenges remain for effectively harvesting …
Advances and prospects on estimating solar photovoltaic installation capacity and potential based on satellite and aerial images
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 …
technologies, plays a key role in reducing carbon emissions to achieve the targets of global …