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 …

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 …

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 …

Intelligent fault diagnosis of photovoltaic arrays based on optimized kernel extreme learning machine and IV characteristics

Z Chen, L Wu, S Cheng, P Lin, Y Wu, W Lin - Applied energy, 2017 - Elsevier
Fault diagnosis of photovoltaic (PV) arrays is important for improving the reliability, efficiency
and safety of PV power stations, because the PV arrays usually operate in harsh outdoor …

Inspection and condition monitoring of large-scale photovoltaic power plants: A review of imaging technologies

I Høiaas, K Grujic, AG Imenes, I Burud, E Olsen… - … and Sustainable Energy …, 2022 - Elsevier
The massive growth of PV farms, both in number and size, has motivated new approaches in
inspection system design and monitoring. This paper presents a review of imaging …

Intermittent renewable energy sources: The role of energy storage in the european power system of 2040

H Zsiborács, NH Baranyai, A Vincze, L Zentkó… - Electronics, 2019 - mdpi.com
Global electricity demand is constantly growing, making the utilization of solar and wind
energy sources, which also reduces negative environmental effects, more and more …

Day-ahead photovoltaic forecasting: A comparison of the most effective techniques

A Nespoli, E Ogliari, S Leva, A Massi Pavan, A Mellit… - Energies, 2019 - mdpi.com
We compare the 24-hour ahead forecasting performance of two methods commonly used for
the prediction of the power output of photovoltaic systems. Both methods are based on …

Solar energy dust and soiling R&D progress: Literature review update for 2016

SCS Costa, ASAC Diniz, LL Kazmerski - Renewable and Sustainable …, 2018 - Elsevier
The objective of this literature review and survey is to provide a compilation and assessment
of recent published reports for solar-electric device soiling R&D, to extend and update the …

Faults detection and diagnosis of PV systems based on machine learning approach using random forest classifier

AF Amiri, H Oudira, A Chouder, S Kichou - Energy Conversion and …, 2024 - Elsevier
Accurate and reliable fault detection procedures are crucial for optimizing photovoltaic (PV)
system performance. Establishing a trustworthy PV array model is the primary step and a …

Recent advances in failure diagnosis techniques based on performance data analysis for grid-connected photovoltaic systems

A Livera, M Theristis, G Makrides, GE Georghiou - Renewable energy, 2019 - Elsevier
Over the last decade, research into photovoltaic (PV) technology has shifted from a race for
the highest efficiency to the increase of the performance reliability in the field. A major part of …