Using machine learning in photovoltaics to create smarter and cleaner energy generation systems: A comprehensive review
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 …
energy production. In parallel, machine learning has gained prominence because of a …
[HTML][HTML] Advancements in digital twin technology and machine learning for energy systems: a comprehensive review of applications in smart grids, renewable energy …
The growing interest in Digital Twin (DT) Technology represents a significant advancement
in academic research and industrial applications. Leveraging advancements in Internet of …
in academic research and industrial applications. Leveraging advancements in Internet of …
Improving forest detection using machine learning and remote sensing: A Case study in Southeastern Serbia
Featured Application The primary application of this work is in environmental resource
management, specifically in the detection and monitoring of vegetation patterns and …
management, specifically in the detection and monitoring of vegetation patterns and …
A machine-learning-based robust classification method for PV panel faults
Renewable energy resources have gained considerable attention in recent years due to
their efficiency and economic benefits. Their proportion of total energy use continues to grow …
their efficiency and economic benefits. Their proportion of total energy use continues to grow …
A comprehensive review of supervised learning algorithms for the diagnosis of photovoltaic systems, Proposing a new approach using an ensemble learning …
GM Toche Tchio, J Kenfack, D Kassegne, FD Menga… - Applied Sciences, 2024 - mdpi.com
Photovoltaic systems are prone to breaking down due to harsh conditions. To improve the
reliability of these systems, diagnostic methods using Machine Learning (ML) have been …
reliability of these systems, diagnostic methods using Machine Learning (ML) have been …
Predicting the remaining life of oil pipeline circumferential welds based on hybrid machine learning-based methods
W Manqi, W Bohong, Y Zhipeng, C Yujie, X Shuyi… - Energy, 2024 - Elsevier
Circumferential welds are often considered critical junctions in oil pipelines. Considering
that the failure of circumferential welds in pipelines can lead to economic losses and …
that the failure of circumferential welds in pipelines can lead to economic losses and …
[PDF][PDF] Diagnosing faults in a photovoltaic system using the Extra Trees ensemble algorithm
Diagnosing faults in a photovoltaic system using the Extra Trees ensemble algorithm Page 1
AIMS Energy, 12(4): 727–750. DOI: 10.3934/energy.2024034 Received: 26 February 2024 …
AIMS Energy, 12(4): 727–750. DOI: 10.3934/energy.2024034 Received: 26 February 2024 …
Proposing an intelligent monitoring system for early prediction of need for intubation among COVID-19 hospitalized patients
MR Afrash, H Kazemi-Arpanahi… - Journal of …, 2022 - publish.kne-publishing.com
Introduction: Predicting acute respiratory insufficiency due to coronavirus disease 2019
(COVID-19) can diminish the severe complications and mortality associated with the …
(COVID-19) can diminish the severe complications and mortality associated with the …
[HTML][HTML] Fault resistance estimation for line-line fault in photovoltaic arrays using regression-based dense neural network
Line-line (LL) faults in photovoltaic (PV) arrays lead to a reduction in the output power and
service life of PV systems, and if not detected and eliminated in time, may cause catastrophic …
service life of PV systems, and if not detected and eliminated in time, may cause catastrophic …
Support Vector Machine-Based Tagged Neutron Method for Explosives Detection
GH Li, SL Jia, ZH Lu, SW Jing - Arabian Journal for Science and …, 2024 - Springer
Tagged neutron detection system combined with support vector machine (SVM) is proposed
for the detection of explosives hidden inside walls. The detection system was based on an …
for the detection of explosives hidden inside walls. The detection system was based on an …