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Towards the application of renewable energy technologies in green ports: Technical and economic perspectives
With growing concerns over environmental degradation and climate change, the ship**
industry is under increasing pressure to reduce its environmental impact. This has led to the …
industry is under increasing pressure to reduce its environmental impact. This has led to the …
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 novel convolutional neural network-based approach for fault classification in photovoltaic arrays
Fault diagnosis in photovoltaic (PV) arrays is essential in enhancing power output as well as
the useful life span of a PV system. Severe faults such as Partial Shading (PS) and high …
the useful life span of a PV system. Severe faults such as Partial Shading (PS) and high …
A diode-based fault detection, classification, and localization method for photovoltaic array
In this research work, a diode-based circuit and an algorithm are proposed to detect,
classify, and localize faults in small-or medium-scale photovoltaic (PV) array with blocking …
classify, and localize faults in small-or medium-scale photovoltaic (PV) array with blocking …
Two-dimensional time series sample entropy algorithm: Applications to rotor axis orbit feature identification
W Huachun, Z Jian, X Chunhu, Z Jiyang… - Mechanical Systems and …, 2021 - Elsevier
Traditional sample entropy algorithms are limited in their inability to analyze two-
dimensional (2D) time series. Here, we describe a new feature algorithm for 2D time-series …
dimensional (2D) time series. Here, we describe a new feature algorithm for 2D time-series …
An AdaBoost ensemble model for fault detection and classification in photovoltaic arrays
The photovoltaic (PV) arrays are susceptible to numerous faults. Fault diagnosis is essential
in improving a PV system's output power, reliability, and life span. This research paper …
in improving a PV system's output power, reliability, and life span. This research paper …
A novel deep stack-based ensemble learning approach for fault detection and classification in photovoltaic arrays
The widespread adoption of green energy resources worldwide, such as photovoltaic (PV)
systems to generate green and renewable power, has prompted safety and reliability …
systems to generate green and renewable power, has prompted safety and reliability …
Electrical fault tolerance of photovoltaic array configurations: Experimental investigation, performance analysis, monitoring and detection
The array configurations have gained a higher prominence and application in the solar PV
system for reducing power losses during partial shading. However, additional wires can …
system for reducing power losses during partial shading. However, additional wires can …
Fault diagnosis of photovoltaic strings by using machine learning‐based stacking classifier
B Liu, K Sun, X Wang, J Zhao… - IET Renewable Power …, 2024 - Wiley Online Library
Photovoltaic (PV) modules are prone to short circuits, open circuits, cracks, which can bring
serious harmful effects. It is difficult to establish the corresponding PV fault models to …
serious harmful effects. It is difficult to establish the corresponding PV fault models to …
Maximum power point analysis for partial shading detection and identification in photovoltaic systems
Fault diagnosis of photovoltaic (PV) systems is a crucial task to guarantee security, increase
productivity, efficiency, and availability. In this regard, numerous diagnosis methods have …
productivity, efficiency, and availability. In this regard, numerous diagnosis methods have …