Search Results - panel extraction ((method algorithm) OR (((path algorithm) OR (_ algorithm))))

Identifying Damage Types in Solar Panels Through Surface Image Analysis with Naive Bayes by Wiliani, Ninuk, T.K.A, Rahman, Ramli, Suzaimah

“…This study investigates the utilization of statistical feature extraction methods alongside Bernoulli Naive Bayes (BNB) and Gaussian Naive Bayes (GNB) algorithms to categorize different defect types, such as cracks, scratches, spots, and non-defective surfaces, through digital image analysis. …”
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Performance analysis of PSO MPPT for photovoltaic (PV) system during irradiance changes / Kharismi Burhanudin by Burhanudin, Kharismi

“…The process continues repeatedly to track maximum power depending on the swarmsize of the MPPT algorithm. In order to validate this technique simulation was conducted using MATLAB SIMULINK software in order to observe and identify the output power extracted from the PV panel. …”
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Peripheral interface controller-based maximum power point tracking algorithm for photovoltaic DC to DC boost controller by Z. A. Ghani, E. Onn, M. Y. Zeain, Apriana Toding, F. A. Azidin, H. Othman, Z. Zakaria, Herwnsyah bin Lago

“…A method of developing a maximum power point tracking (MPPT) algorithm for photovoltaic (PV) utilizing a peripheral interface controller (PIC) is presented in this paper. …”
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Fuzzy logic-based hill climbing technique for photovoltaic maximum power point tracking converter by Taghvaee, Mohammad Hossein

“…Simulation results are presented to validate performance of the algorithm under different irradiation schemes, and to compare with the results obtained from conventional algorithm. …”
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Characterization of PV panel and global optimization of its model parameters using genetic algorithm by Ismail, M.S., Moghavvemi, Mahmoud, Mahlia, T.M.I.

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PARTICLE SWARM OPTIMIZATION MAXIMUM POWER POINT TRACKING FOR PARTIALLY SHADED SOLAR PV by Alvin, Ngu Tien Leong

“…The objectives of this thesis are to synthesis, simulate and evaluate the robustness of PSO algorithm for MPPT under PSC. The energy conversion system and PSO algorithm were simulated in MATLAB/Simulink. …”
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Characterization of PV panel and global optimization of its model parameters using genetic algorithm by Ismail M.S., Moghavvemi M., Mahlia T.M.I.

Fractional chaos maps with flower pollination algorithm for partial shading mitigation of photovoltaic systems by Yousri D., Babu T.S., Allam D., Ramachandaramurthy V.K., Beshr E., Eteiba M.B.

Peripheral Interface Controller (PIC) Based Maximum Power Point Tracking (MPPT) Algorithm For Photovoltaic (PV) DC To DC Boost Converter by Siam, Effendy Onn

“…The control section obtains the information from the PV array through microcontroller’s Analog to Digital Converter (ADC) ports and hence to perform the pulse width modulation (PWM) to the converter through its Digital to Analog Converter (DAC) ports. Many such algorithms have been proposed. However, one particular algorithm, the constant voltage method, claimed by many in the literature to be inferior to others, continues to be by far the most widely used method in commercial PV MPPT’s. …”
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PV module maximum power point tracker (MPPT) using microcontroller by Nadiathul Raihana, Ismail

“…The control section obtains the information from the PV array through microcontroller’s Analog to Digital Converter (ADC) ports and hence to perform )the pulse width modulation (PWM) to the converter through its Digital to Analog Converter (DAC) ports. Many such algorithms have been proposed. However, one particular algorithm, the perturb-and-observe (P&O) method, claimed by many in the literature to be inferior to others, continues to be by far the most widely used method in commercial PV MPPT’s.…”
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Intelligent grading of agarwood essential oil quality using artificial neural network (ANN) / Noratikah Zawani Mahabob by Mahabob, Noratikah Zawani

“…The result revealed that the ANN performance had the highest accuracy when training using the LM training algorithm. The ANN with the seven inputs (seven significant compounds from Z-score pre-processing technique) trained by one hidden neuron of LM algorithm provided the best performance with 100% for accuracy, specificity, sensitivity and precision as well as minimum convergence epoch.…”
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Fault-tolerant power extraction strategy for photovoltaic energy systems by Boutasseta, Nadir, Ramdani, Messaoud, Mekhilef, Saad

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Evaluation of genetic algorithm based solar tracking system for photovoltaic panels by Mashohor, Syamsiah, Samsudin, Khairulmizam, M. Noor, Amirullah, A. Rahman, Adi Razlan

“…In this paper, a genetic algorithm (GA) has been proposed utilizing sun tracking approaches to maximize the performance of PV panels. …”
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Scanning laser thermographic system for non-destructive evaluation of incipient thermal damages in aircraft composite panel by Musa, Afiqah

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Performance evaluation of solar photovoltaic system based on perturb and observe (P&O) maximum power point tracking (MPPT) algorithm / Nurfarah Ayuni Abdul Khani ... [et al.] by Abdul Khani, Nurfarah Ayuni, Zakaria, Muhammad Iqbal, Mat Yusoh, Mohd Abdul Talib, Kamarudin, Muhammad Nizam, A.A Emhemed, Abdul Rahman

“…Therefore, the main goal of this study is to simulate and assess the effectiveness of the P&O MPPT algorithm in MATLAB/Simulink when it comes to maximizing power extraction from a photovoltaic system. …”
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Improvement Of Solar Farm Efficiency And Energy Production By Using Distributed MPPPT by Janesh Kiran A/L Kalaichelvan

Performance evaluation of DC Power Optimizer (DCPO) for Photovoltaic (PV) system during partial shading by Salam, Zainal, Ramli, Mohd zulkifli

“…One of the drawbacks of the maximum power point tracker (MPPT) algorithm is its inability to extract the energy from partially shaded photovoltaic (PV) panels. …”
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Estimating Crack Effects on Electrical Characteristics of PV Modules Based on Monitoring Data and I-V Curves by Feng L., Zhang J., Kiong T.S., Ding K., Amin N., Hamelmann F.U.

Standalone PV solar using LED flood light for street lighting by Amedan, Rubiatul Adawiah

“…This design includes PV panels, boost converter, charge controller and Led load.…”
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The classification of skateboarding trick manoeuvres: A K-nearest neighbour approach by Muhammad Ar Rahim, Ibrahim, Muhammad Amirul, Abdullah, Muhammad Nur Aiman, Shapiee, Mohd Azraai, Mohd Razman, Rabiu Muazu, Musa, Muhammad Aizzat, Zakaria, Noor Azuan, Abu Osman, Anwar P. P., Abdul Majeed

“…A variation of k-NN algorithms were tested based on the number of neighbours, as well as the weight and the type of distance metric used. …”
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