Artificial intelligence and internet of things to improve efficacy of diagnosis and remote sensing of solar photovoltaic systems: Challenges, recommendations and future …
A Mellit, S Kalogirou - Renewable and Sustainable Energy Reviews, 2021 - Elsevier
Currently, a huge number of photovoltaic plants have been installed worldwide and these
plants should be carefully protected and supervised continually in order to be safe and …
plants should be carefully protected and supervised continually in order to be safe and …
Fault detection and monitoring systems for photovoltaic installations: A review
A Triki-Lahiani, ABB Abdelghani… - … and Sustainable Energy …, 2018 - Elsevier
As any energy production system, photovoltaic (PV) installations have to be monitored to
enhance system performances and to early detect failures for more reliability. There are …
enhance system performances and to early detect failures for more reliability. There are …
Graph-based semi-supervised learning for fault detection and classification in solar photovoltaic arrays
Y Zhao, R Ball, J Mosesian… - IEEE Transactions on …, 2014 - ieeexplore.ieee.org
Fault detection in solar photovoltaic (PV) arrays is an essential task for increasing reliability
and safety in PV systems. Because of PV's nonlinear characteristics, a variety of faults may …
and safety in PV systems. Because of PV's nonlinear characteristics, a variety of faults may …
Proton exchange membrane fuel cell degradation prediction based on adaptive neuro-fuzzy inference systems
This paper studies the prediction of the output voltage reduction caused by degradation
during nominal operating condition of a PEM fuel cell stack. It proposes a methodology …
during nominal operating condition of a PEM fuel cell stack. It proposes a methodology …
Monitoring, diagnosis, and power forecasting for photovoltaic fields: A review
A wide literature review of recent advance on monitoring, diagnosis, and power forecasting
for photovoltaic systems is presented in this paper. Research contributions are classified into …
for photovoltaic systems is presented in this paper. Research contributions are classified into …
A supervised ensemble learning method for fault diagnosis in photovoltaic strings
This study proposes a fault diagnosis method based on the use of a machine learning (ML)
technique called ensemble learning (EL) for photovoltaic (PV) systems. EL methods aim to …
technique called ensemble learning (EL) for photovoltaic (PV) systems. EL methods aim to …
Real time fault detection in photovoltaic systems
In this paper, a method for real time monitoring and fault diagnosis in photovoltaic systems is
proposed. This approach is based on a comparison between the performances of a faulty …
proposed. This approach is based on a comparison between the performances of a faulty …
Review of artificial intelligence-based failure detection and diagnosis methods for solar photovoltaic systems
In recent years, the overwhelming growth of solar photovoltaics (PV) energy generation as
an alternative to conventional fossil fuel generation has encouraged the search for efficient …
an alternative to conventional fossil fuel generation has encouraged the search for efficient …
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 …
Scheme for predictive fault diagnosis in photo-voltaic modules using thermal imaging
Degradation of PV modules can cause excessive overheating which results in a reduced
power output and eventually failure of solar panel. To maintain the long term reliability of …
power output and eventually failure of solar panel. To maintain the long term reliability of …