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 …
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 …
[HTML][HTML] Non-intrusive load decomposition based on CNN–LSTM hybrid deep learning model
X Zhou, J Feng, Y Li - Energy Reports, 2021 - Elsevier
With the rapid development of science and technology, the problem of energy load
monitoring and decomposition of electrical equipment has been receiving widespread …
monitoring and decomposition of electrical equipment has been receiving widespread …
[HTML][HTML] Developing a deep learning-based layer-3 solution for thermal infrared large-scale photovoltaic module inspection from orthorectified big UAV imagery data
The increasing adoption of photovoltaic (PV) technology highlights the need for efficient and
large-scale deployment-ready inspection solutions. In the thermal infrared imagery-based …
large-scale deployment-ready inspection solutions. In the thermal infrared imagery-based …
Photovoltaics plant fault detection using deep learning techniques
S Jumaboev, D Jurakuziev, M Lee - Remote Sensing, 2022 - mdpi.com
Solar energy is the fastest-growing clean and sustainable energy source, outperforming
other forms of energy generation. Usually, solar panels are low maintenance and do not …
other forms of energy generation. Usually, solar panels are low maintenance and do not …
Identification of surface defects on solar pv panels and wind turbine blades using attention based deep learning model
The global generation of renewable energy has rapidly increased, primarily due to the
installation of large-scale renewable energy power plants. However, monitoring renewable …
installation of large-scale renewable energy power plants. However, monitoring renewable …
Fault detection in solar energy systems: A deep learning approach
ZB Duranay - Electronics, 2023 - mdpi.com
While solar energy holds great significance as a clean and sustainable energy source,
photovoltaic panels serve as the linchpin of this energy conversion process. However …
photovoltaic panels serve as the linchpin of this energy conversion process. However …
[HTML][HTML] Fault detection and computation of power in PV cells under faulty conditions using deep-learning
Renewable energy is considered to be an alternate option for limiting the consumption of
fossil fuel along with reducing environmental pollution. Among the possible renewable …
fossil fuel along with reducing environmental pollution. Among the possible renewable …
A comprehensive review of the application of machine learning in fabrication and implementation of photovoltaic systems
Solar energy is a promising source of renewable energy, but its low efficiency, instability,
and high manufacturing costs remain a big challenge. Recently, machine learning (ML) …
and high manufacturing costs remain a big challenge. Recently, machine learning (ML) …
An improved algorithm for wind turbine blade defect detection
X Ran, S Zhang, H Wang, Z Zhang - IEEE Access, 2022 - ieeexplore.ieee.org
With the increase in wind power generation, wind turbine blades require regular inspections
to ensure they continue to operate safely. You only look once (YOLO) is one of the most …
to ensure they continue to operate safely. You only look once (YOLO) is one of the most …