Remote sensing of photovoltaic scenarios: Techniques, applications and future directions
Developing 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 …
[HTML][HTML] A review of data-driven smart building-integrated photovoltaic systems: Challenges and objectives
The smart building-integrated photovoltaic (SBIPV) systems have become the important
source of electricity in recent years. However, many sociological and engineering …
source of electricity in recent years. However, many sociological and engineering …
[HTML][HTML] Understanding rooftop PV panel semantic segmentation of satellite and aerial images for better using machine learning
The photovoltaic (PV) industry boom and increased PV applications call for better planning
based on accurate and updated data on the installed capacity. Compared with the manual …
based on accurate and updated data on the installed capacity. Compared with the manual …
A review of behind-the-meter solar forecasting
Solar photovoltaic systems largely integrated within the distribution grid are operated
'behind-the-meter'and power generation cannot be directly monitored by most utilities. The …
'behind-the-meter'and power generation cannot be directly monitored by most utilities. The …
Multi-resolution dataset for photovoltaic panel segmentation from satellite and aerial imagery
In the context of global carbon emission reduction, solar photovoltaics (PV) is experiencing
rapid development. Accurate localized PV information, including location and size, is the …
rapid development. Accurate localized PV information, including location and size, is the …
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 …
A taxonomical review on recent artificial intelligence applications to PV integration into power grids
The exponential growth of solar power has been witnessed in the past decade and is
projected by the ambitious policy targets. Nevertheless, the proliferation of solar energy …
projected by the ambitious policy targets. Nevertheless, the proliferation of solar energy …
Accurate and generalizable photovoltaic panel segmentation using deep learning for imbalanced datasets
The widespread adoption of photovoltaic (PV) technology for renewable energy
necessitates accurate segmentation of PV panels to estimate installation capacity. However …
necessitates accurate segmentation of PV panels to estimate installation capacity. However …
Automated detection of solar cell defects with deep learning
Nowadays, renewable energies play an important role to cover the increasing power
demand in accordance with environment protection. Solar energy, produced by large solar …
demand in accordance with environment protection. Solar energy, produced by large solar …
Automated extraction of energy systems information from remotely sensed data: A review and analysis
High quality energy systems information is a crucial input to energy systems research,
modeling, and decision-making. Unfortunately, actionable information about energy systems …
modeling, and decision-making. Unfortunately, actionable information about energy systems …