Application of Artificial Neural Networks to photovoltaic fault detection and diagnosis: A review
The rapid development of photovoltaic (PV) technology and the growing number and size of
PV power plants require increasingly efficient and intelligent health monitoring strategies to …
PV power plants require increasingly efficient and intelligent health monitoring strategies to …
Machine learning applications in health monitoring of renewable energy systems
Rapidly evolving renewable energy generation technologies and the ever-increasing scale
of renewable energy installations are driving the need for more accurate, faster, and smarter …
of renewable energy installations are driving the need for more accurate, faster, and smarter …
Short‐Term Power Prediction of Building Integrated Photovoltaic (BIPV) System Based on Machine Learning Algorithms
One of the biggest challenges is towards ensuring large‐scale integration of photovoltaic
systems into buildings. This work is aimed at presenting a building integrated photovoltaic …
systems into buildings. This work is aimed at presenting a building integrated photovoltaic …
Asynchronous decentralized federated learning for collaborative fault diagnosis of PV stations
Due to the different losses caused by various photovoltaic (PV) array faults, accurate
diagnosis of fault types is becoming increasingly important. Compared with a single one …
diagnosis of fault types is becoming increasingly important. Compared with a single one …
A fast MPPT-based anomaly detection and accurate fault diagnosis technique for PV arrays
C Li, Y Yang, K Zhang, C Zhu, H Wei - Energy Conversion and …, 2021 - Elsevier
Catastrophic faults in photovoltaic (PV) arrays, if not detected timely, will significantly reduce
the output power and even cause fire risks. Thus, fast and accurate fault detection and …
the output power and even cause fire risks. Thus, fast and accurate fault detection and …
Current practices of solar photovoltaic panel cleaning system and future prospects of machine learning implementation
Solar Photovoltaic System (SPV) is one of the growing green energy sources having
immense penetration in the national grid as well as the off-grid around the globe …
immense penetration in the national grid as well as the off-grid around the globe …
An integrated industrial PV panel cleaning recommendation system for optimal dust removal
C Zhang, Y Ma, G Yang, T Chen - Applied Energy, 2025 - Elsevier
Developed from prior research, this paper presents a comprehensive study on the
effectiveness of the PV Nexus Cleaning Recommendation System (PNCRS), an intelligent …
effectiveness of the PV Nexus Cleaning Recommendation System (PNCRS), an intelligent …
Compound fault diagnosis model for Photovoltaic array using multi-scale SE-ResNet
P Lin, Z Qian, X Lu, Y Lin, Y Lai, S Cheng… - Sustainable Energy …, 2022 - Elsevier
Photovoltaic (PV) systems working outdoors are susceptible to various faults. The deposition
of dust on the PV array may make these faults more complicated, resulting in a kind of …
of dust on the PV array may make these faults more complicated, resulting in a kind of …
A proposed set of indicators for evaluating the performance of the operation and maintenance of photovoltaic plants
As photovoltaic plants (PV) age, the need for efficient monitoring of operations &
maintenance (O&M) increases, hel** to understand the situation of the plant, identify …
maintenance (O&M) increases, hel** to understand the situation of the plant, identify …
Impact of dust accumulation on photovoltaic panels: a review paper
Photovoltaic systems (PV) have been extensively used worldwide as a reliable and effective
renewable energy resource due to their environmental and economic merits. However, PV …
renewable energy resource due to their environmental and economic merits. However, PV …