Sofiane Kichou
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View article: Faults Detection and Diagnosis of a Large-Scale PV System by Analyzing Power Losses and Electric Indicators Computed Using Random Forest and KNN-Based Prediction Models
Faults Detection and Diagnosis of a Large-Scale PV System by Analyzing Power Losses and Electric Indicators Computed Using Random Forest and KNN-Based Prediction Models Open
Accurate and reliable fault detection in photovoltaic (PV) systems is essential for optimizing their performance and durability. This paper introduces a novel approach for fault detection and diagnosis in large-scale PV systems, utilizing …
View article: Improving Photovoltaic Power Prediction: Insights through Computational Modeling and Feature Selection
Improving Photovoltaic Power Prediction: Insights through Computational Modeling and Feature Selection Open
This work identifies the most effective machine learning techniques and supervised learning models to estimate power output from photovoltaic (PV) plants precisely. The performance of various regression models is analyzed by harnessing exp…
View article: Improving Photovoltaic Power Prediction: Insights through Computational Modeling and Feature Selection
Improving Photovoltaic Power Prediction: Insights through Computational Modeling and Feature Selection Open
This work focuses on identifying the most effective machine learning techniques and supervised learning models to precisely estimate power output from Photovoltaic (PV) plants. The performance of various regression models is analyzed by ha…
View article: Enhanced Forecasting Accuracy of a Grid-Connected Photovoltaic Power Plant: A Novel Approach Using Hybrid Variational Mode Decomposition and a CNN-LSTM Model
Enhanced Forecasting Accuracy of a Grid-Connected Photovoltaic Power Plant: A Novel Approach Using Hybrid Variational Mode Decomposition and a CNN-LSTM Model Open
Renewable energies have become pivotal in the global energy landscape. Their adoption is crucial for phasing out fossil fuels and promoting environmentally friendly energy solutions. In recent years, the energy management system (EMS) conc…
View article: Fault Detection and Diagnosis of a Photovoltaic System Based on Deep Learning Using the Combination of a Convolutional Neural Network (CNN) and Bidirectional Gated Recurrent Unit (Bi-GRU)
Fault Detection and Diagnosis of a Photovoltaic System Based on Deep Learning Using the Combination of a Convolutional Neural Network (CNN) and Bidirectional Gated Recurrent Unit (Bi-GRU) Open
The meticulous monitoring and diagnosis of faults in photovoltaic (PV) systems enhances their reliability and facilitates a smooth transition to sustainable energy. This paper introduces a novel application of deep learning for fault detec…
View article: Editorial: Sustainable planning and lifecycle thinking of energy infrastructure
Editorial: Sustainable planning and lifecycle thinking of energy infrastructure Open
EDITORIAL article Front. Energy Res., 18 April 2023Sec. Sustainable Energy Systems Volume 11 - 2023 | https://doi.org/10.3389/fenrg.2023.1196826
View article: Optimal Energy Harvesting From a Multistrings PV Generator Based on Artificial Bee Colony Algorithm
Optimal Energy Harvesting From a Multistrings PV Generator Based on Artificial Bee Colony Algorithm Open
Photovoltaic (PV) systems based on multistring configuration are the best effective solution, given its advantages in terms of system availability, reliability, and energy efficiency. In this particular configuration each substring has its…
View article: Evaluation of Photovoltaic and Battery Storage Effects on the Load Matching Indicators Based on Real Monitored Data
Evaluation of Photovoltaic and Battery Storage Effects on the Load Matching Indicators Based on Real Monitored Data Open
This paper reports on the electrical performance of two bloc-of-flats buildings located in Prague, Czech Republic. Measured data of electrical consumption were used to investigate the effect of photovoltaic (PV) and battery energy storage …
View article: Optimization method for photovoltaic integration in residential houses
Optimization method for photovoltaic integration in residential houses Open
Good design and sizing of photovoltaic (PV) systems is very important in order to effectively harvest energy and minimize the investment cost. The optimum tilt and azimuth angles at which a PV system should be installed are often debated. …
View article: Simple Free Use Simulation Software for Buildings with Photovoltaic System and Battery
Simple Free Use Simulation Software for Buildings with Photovoltaic System and Battery Open
The paper describes proposed techniques used for simple simulation of a hybrid energy system in a building. An interactive software tool is presented that can be downloaded and used for any purpose free of charge. Based on selected househo…
View article: Renewable Energy Supply for Remote Station Located in Antarctica – Simulations Based on Real Measured Data
Renewable Energy Supply for Remote Station Located in Antarctica – Simulations Based on Real Measured Data Open
Photovoltaic (PV) installation with energy control and energy storage systems (ESS) are becoming more popular to be used inside buildings. They can assure stable energy supply as well as energy savings. A proper system design is necessary …
View article: Automatic supervision of Pv systems and degradation analysis of thin film PV modules
Automatic supervision of Pv systems and degradation analysis of thin film PV modules Open
Monitoring and regular performance analysis of Grid-Connected Photovoltaic (GCPV) systems are of primal importance in order to ensure an optimal energy harvesting and reliable power production at competitive costs. Main faults in GCPV syst…
View article: Behavioral data of thin-film single junction amorphous silicon (a-Si) photovoltaic modules under outdoor long term exposure
Behavioral data of thin-film single junction amorphous silicon (a-Si) photovoltaic modules under outdoor long term exposure Open
Four years׳ behavioral data of thin-film single junction amorphous silicon (a-Si) photovoltaic (PV) modules installed in a relatively dry and sunny inland site with a Continental-Mediterranean climate (in the city of Jaén, Spain) are prese…