[HTML][HTML] Methods of photovoltaic fault detection and classification: A review

YY Hong, RA Pula - Energy Reports, 2022 - Elsevier
Photovoltaic (PV) fault detection and classification are essential in maintaining the reliability
of the PV system (PVS). Various faults may occur in either DC or AC side of the PVS. The …

Artificial neural networks in MPPT algorithms for optimization of photovoltaic power systems: A review

CG Villegas-Mier, J Rodriguez-Resendiz… - Micromachines, 2021 - mdpi.com
The use of photovoltaic systems for clean electrical energy has increased. However, due to
their low efficiency, researchers have looked for ways to increase their effectiveness and …

Using machine learning in photovoltaics to create smarter and cleaner energy generation systems: A comprehensive review

A Sohani, H Sayyaadi, C Cornaro… - Journal of Cleaner …, 2022 - Elsevier
Photovoltaic (PV) technologies are expected to play an increasingly important role in future
energy production. In parallel, machine learning has gained prominence because of a …

A review of real-time fault diagnosis methods for industrial smart manufacturing

W Yan, J Wang, S Lu, M Zhou, X Peng - Processes, 2023 - mdpi.com
In the era of Industry 4.0, highly complex production equipment is becoming increasingly
integrated and intelligent, posing new challenges for data-driven process monitoring and …

Two fast metaheuristic-based MPPT techniques for partially shaded photovoltaic system

A Moghassemi, S Ebrahimi, S Padmanaban… - International Journal of …, 2022 - Elsevier
The photovoltaic output power varies according to the solar radiation and ambient
temperature because the operation of the photovoltaic arrays depends on them. Therefore …

Incremental causal graph learning for online root cause analysis

D Wang, Z Chen, Y Fu, Y Liu, H Chen - Proceedings of the 29th ACM …, 2023 - dl.acm.org
The task of root cause analysis (RCA) is to identify the root causes of system faults/failures
by analyzing system monitoring data. Efficient RCA can greatly accelerate system failure …

State estimation for distribution power systems by applying an advanced optimization approach

A Shaghaghi, R Zahedi, M Ghorbani, Z Ranjbar… - Expert Systems with …, 2024 - Elsevier
New centralized automation functions in distribution system control centers are needed in
order to ensure the control of both distribution network and connected DGs. Consequently …

[HTML][HTML] A review of automated solar photovoltaic defect detection systems: Approaches, challenges, and future orientations

U Hijjawi, S Lakshminarayana, T Xu, GPM Fierro… - Solar Energy, 2023 - Elsevier
The development of Photovoltaic (PV) technology has paved the path to the exponential
growth of solar cell deployment worldwide. Nevertheless, the energy efficiency of solar cells …

Deeppipe: A deep-learning method for anomaly detection of multi-product pipelines

J Zheng, C Wang, Y Liang, Q Liao, Z Li, B Wang - Energy, 2022 - Elsevier
The multi-product pipeline is the main way of refined oil transportation to ensure the safety of
the energy supply. Considering that abnormal conditions of the pipeline will cause huge …

Machine learning-based condition monitoring for PV systems: State of the art and future prospects

T Berghout, M Benbouzid, T Bentrcia, X Ma, S Djurović… - Energies, 2021 - mdpi.com
To ensure the continuity of electric power generation for photovoltaic systems, condition
monitoring frameworks are subject to major enhancements. The continuous uniform delivery …