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İHA Tarafından Elde Edilen Termal Görüntüler Kullanılarak Fotovoltaik Sistemde Derin Öğrenme Tabanlı Arıza Tespiti ve Teşhisi
Deep Learning Based Fault Detection and Diagnosis in Photovoltaic System Using Thermal Images Acquired by UAV

Barış KAYCI, Batıkan Erdem DEMİR, Funda DEMİR
2022 Journal of Polytechnic  
Elde edilen termal görüntüler kullanılarak hücre hatası, modül hatası ve panel hatasını içeren bir termal veri seti oluşturulmuştur.  ...  Bu çalışmada güneş panellerinden elde edilen termal görüntüler kullanılarak panellerdeki hücre, modül ve panel arızalarının tespiti ele alınmıştır.  ...  In the study, Sky Robotic SR-SF6 model UAV and Flir TAU2 model thermal camera were used [7] . Carletti et al. proposed a model-based approach to detect defective solar panels in their study.  ... 
doi:10.2339/politeknik.1094586 fatcat:bemzpy7rdrg2lig22aeqxkdqfe

Intelligent Microcontroller Solar 12V Battery Charger

Abdul Hakeem Hisham, Muhammad Haroon, Mr. Mohammad Sameer Baig
2022 Mediterranean Journal of Basic and Applied Sciences  
Our aim is to design a single axis solar tracker as well dual axis Intelligent microcontroller solar 12V Battery.  ...  The operation of experimental model of the device is based on a DC motor which is intelligently controlled by a dedicated drive until that moves a mini photovoltaic panel, the presence of the two simple  ...  The vital importance of a dual axis intelligent microcontroller solar 12V Battery lies in its better efficiency and sustainability to give a better output compared to a fived solar panel or a single axis  ... 
doi:10.46382/mjbas.2022.6405 fatcat:3oasacd5onbjlef3vjh4cdlpzi

Intelligent Computing and Control Framework for Smart Automated System

R. Manikandan, G. Ranganathan, V. Bindhu
2022 Intelligent Automation and Soft Computing  
This paper targets to bring the usage of sensor-based intelligent and automatic control methods in the field of an agriculture system which includes automatic solar panel tracking and control, environmental  ...  However, the smart development of an automatic system to measure these vital parameters provides a feasible approach and helps the farmers to monitor their crops productivity.  ...  Acknowledgement: The authors would like to thank the management of Gnanamani college of Technology and Department of Electronics and Communication Engineering for providing the resources to complete this  ... 
doi:10.32604/iasc.2022.023922 fatcat:2yvdpzsuv5gopocpsd4ummnfuu

Optimization Of Solar Tracking Systems

A. Zaher, A. Traore, F. Thiéry, T. Talbert, B. Shaer
2018 Zenodo  
In this paper, an intelligent approach is proposed to optimize the orientation of continuous solar tracking systems on cloudy days.  ...  Thus, the panel is always pointed towards the sun. In case of an overcast sky, the solar beam is close to zero, and the panel is placed horizontally to receive the maximum of diffuse radiation.  ...  Thus, the proposed approach was evaluated by measuring and comparing the energy yield of a solar panel mounted on classical continuous sun tracker to that obtained from another solar panel mounted on intelligent  ... 
doi:10.5281/zenodo.1316602 fatcat:pjg5jfhewrc7pccgcx2cd3uspi

Location-Based Intelligent Power Generation and Management Algorithms for Physically Challenging Rural Areas

Onabajo Olawale Olusegun, Chong Eng Tan
2013 Lecture Notes on Software Engineering  
LOSEPPA takes as input, the geographic latitude of the location to compute the solar irradiance factor. IFPGMA intelligently manages the utilization of the generated solar energy.  ...  With the solar irradiance factor, solar panel can be mounted along specific angle of inclination to the sun.  ...  The solar irradiance factor is a reflection of the solar potential of the landscape. IFPGMA applies fuzzy logic approach in the intelligent control of power to PC terminals and devices. II.  ... 
doi:10.7763/lnse.2013.v1.20 fatcat:phode2p5grbltevxwz7yk6axm4

Illustration of Automatic Panel Cleaning System

Aashika Prasad, PSG College Of Technology
2020 International Journal of Engineering Research and  
This paper deals with the techniques using Artificial Intelligence and Computer Vision to prevent the soiling, thereby increasing the efficiency of the solar technologies.  ...  Thus, there is a need to restrain the dust particles (soiling) from being settled as a layer on the panels.  ...  The efficiency of each solar panel is being computed continuously with respect to its output voltage and current, and is fed to a centralized system.  ... 
doi:10.17577/ijertv9is080140 fatcat:67ic2wymvvgedeed7m7fqldxhm

A Novel Optimization Algorithm for Modifying the Parameter Unit of Solar PV Cell

V. Senthil Nayagam, S. Sanal Kumar, V. Thiyagarajan, Neel Kamal, N. Nisha, J. Samson Isaac, Adane Kassa, V. Mohanavel
2022 International Journal of Photoenergy  
The modified whale optimization algorithm may also be used to evaluate parameters in single-diode models, double-diode models, and photovoltaic panels, as well as to find independent variables in two distinct  ...  The study goes into great depth on a new optimization approach for changing the parameter unit of solar PV cells.  ...  The findings show that the proposed technique is a competing technique that should be part of the solar panel system modeling [9] .  ... 
doi:10.1155/2022/5240115 fatcat:nsllfwko5ncg5nwu4272dr7oiu

Artificial Intelligence Techniques in Solar Energy Applications [chapter]

Soteris Kalogirou, Arzu Senc
2010 Solar Collectors and Panels, Theory and Applications  
Solar Collectors and Panels, Theory and Applications 316 estimation of solar radiation, solar heating, photovoltaic (PV) systems, sun tracking systems, solar air-conditioning systems and many others.  ...  Therefore, the possibilities of applying AI in solar energy applications will be shown.  ...  The one diode type approach is used to model the AM1.5 I-V characteristic of the solar cell. To extract electrical parameters, the approach is formulated as a non convex optimization problem.  ... 
doi:10.5772/10343 fatcat:5zepz6ek2bfg3l57harzkxx3au

Solar panels overheating protection: a review

Imad Laabab, Said Ziani, Abdellah Benami
2022 Indonesian Journal of Electrical Engineering and Computer Science  
Reduced energy consumption is a direct result of building optimization. Solar panels and heat detectors can provide the necessary power.  ...  This document provides an up-to-date assessment of several strategies for preventing solar panels from overheating, all of which serve to boost their efficiency and prolong their service life.  ...  Numerous approaches may be taken to prevent the solar panel from getting too hot. One example is the hybrid solar panel.  ... 
doi:10.11591/ijeecs.v29.i1.pp49-55 fatcat:pbr5gcbm3ngjjkozqy6dgly3ri

Implementation of Maximum Power Point Tracking on Photovoltaic Using Fuzzy Logic Algorithm

Arton Johan Lubis, Erwin Susanto, Unang Sunarya
2015 TELKOMNIKA (Telecommunication Computing Electronics and Control)  
Therefore we need a way to maximize the power output of solar panels. Maximum Power Point Tracking (MPPT) is a method for finding its maximum power point.  ...  The voltage and current from the solar panels are fed to the fuzzy logic controller.  ...  The advantage of FLC is that it doesnot need the mathematical model. It reduces the complexity of modeling and computation via heuristic approach.  ... 
doi:10.12928/telkomnika.v13i1.131 fatcat:ni6s6bhp4naclfbycxzd44idly

A Sensorless Intelligent System to Detect Dust on PV Panels for Optimized Cleaning Units

Faris E. Alfaris
2023 Energies  
An expert artificial intelligence (AI) computational system, adopted with the MATLAB platform, is utilized for a high level of data prediction and processing.  ...  Therefore, this paper proposes an intelligent system to detect the dust level on the PV panels to optimally operate the attached dust cleaning units (DCUs).  ...  Therefore, this section aims to utilize the solar radiation model to predict the extracted power from a specific PV system.  ... 
doi:10.3390/en16031287 fatcat:ivvtheundbg5na2onqrs4f4voi

Design Of Intelligent Controller For A Hydraulic Solar PV System

K. Sankar, E.Sheeba Percis
2017 International Journal of MC Square Scientific Research  
This project work is to model a standalone solar powered micro grid with an intelligent controller for controlling a hydraulically operated Solar PV System, which helps in unfolding the PV panels at site  ...  The technology can be a single panel, a string of PV panels, or a multitude of parallel strings of PV panels. Solar PV has no emissions, reliable and its minimum maintenance.  ...  The aim of this project work is to model a standalone solar powered micro grid with an intelligent controller for controlling a hydraulically operated Solar PV System, which helps in unfolding the PV panels  ... 
doi:10.20894/ijmsr.117.009.001.008 fatcat:hj5w37txrnaphmxze5mzdtabcu

Hybrid renewable energy system based on intelligent optimization techniques

Katheryn Donado Mercado, Jamer Jimenez, M. Christian G. Quintero
2016 2016 IEEE International Conference on Renewable Energy Research and Applications (ICRERA)  
This master thesis, proposes to use intelligent technologies to optimally size a hybrid renewable energy system using solar and wind power.  ...  A review of relevant related work used as reference and inspiration to develop the proposed approach.  ...  Solar Panel: A study was carried out to select the model of the solar panel. Twelve (12) models used for solar panels in published studies were analyzed.  ... 
doi:10.1109/icrera.2016.7884417 fatcat:ois6u72pfjf65ij65oa5btieo4

Improving Photovoltaic System Performance with Artificial Neural Network Control

Salma BENCHIKH, Tarik JAROU, Mohamed Khalifa BOUTAHIR, Elmehdi NASRI, Roa ELAMRANI
2023 Data and Metadata  
This research integrated an ANN controller into a photovoltaic system in order dynamically optimize the operating point of solar panels in response to environmental changes.  ...  To enhance the efficiency of solar panels amid changing environmental conditions, effective Maximum Power Point Tracking (MPPT) is essential.  ...  These computational models are particularly effective at learning patterns from data, adapting to changing conditions, and managing the nonlinear interactions intrinsic to solar power generation.  ... 
doi:10.56294/dm2023144 fatcat:r67acyjyvffi3pk52dr4epwqmi

Improved Machine Learning Model Selection Technique for Solar Energy Forecasting Applications

2021 International Journal of Renewable Energy Research  
This paper focuses on developing a ranking system to evaluate the performance of selected machine learning models.  ...  One of the advanced technologies that has been implemented in the solar field is the forecasting of PV power output and comes with a great challenge to produce high accuracy.  ...  The main author would like to thank Universiti Teknikal Malaysia Melaka and the Ministry of Higher Education Malaysia for supporting his Masterwork.  ... 
doi:10.20508/ijrer.v11i1.11772.g8135 fatcat:spmfq6y7izefhnq3enrzyw6yem
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