Evaluation of energy extraction of PV systems affected by environmental factors under real outdoor conditions
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Muhammed A. Hassan | N. Bailek | B. Jamil | S. C. Nwokolo | Alban Kuriqi | Abdelhameed Ibrahim | K. Bouchouicha | E. El-Kenawy
[1] Muhammed A. Hassan,et al. Solar irradiance short-term prediction under meteorological uncertainties: survey hybrid artificial intelligent basis music-inspired optimization models , 2022, The European Physical Journal Plus.
[2] Muhammed A. Hassan,et al. Hybrid Ensemble-Learning Approach for Renewable Energy Resources Evaluation in Algeria , 2022 .
[3] C. Voyant,et al. Total solar irradiance's effect on the performance of empirical models for estimating global solar radiation: An empirical-based review , 2021 .
[4] Lei Wang,et al. A support vector regression (SVR)-based method for dynamic load identification using heterogeneous responses under interval uncertainties , 2021, Appl. Soft Comput..
[5] Hongbin Liu,et al. The transferability of random forest and support vector machine for estimating daily global solar radiation using sunshine duration over different climate zones , 2021, Theoretical and Applied Climatology.
[6] Wang Meilin,et al. Retrieval model for total nitrogen concentration based on UAV hyper spectral remote sensing data and machine learning algorithms – A case study in the Miyun Reservoir, China , 2021 .
[7] Hongxing Yang,et al. Comparison of different simplistic prediction models for forecasting PV power output: Assessment with experimental measurements , 2021 .
[8] Kada Bouchouicha,et al. Ultra-short-term exogenous forecasting of photovoltaic power production using genetically optimized non-linear auto-regressive recurrent neural networks , 2021 .
[9] Pietro Elia Campana,et al. High-resolution estimates of diffuse fraction based on dynamic definitions of sky conditions , 2021 .
[10] Mohamed Abubakr,et al. Selection methodology of representative meteorological days for assessment of renewable energy systems , 2021 .
[11] Sherif S. M. Ghoneim,et al. Adaptive Dynamic Meta-Heuristics for Feature Selection and Classification in Diagnostic Accuracy of Transformer Faults , 2021, IEEE Access.
[12] Muhammed A. Hassan,et al. A profile-free non-parametric approach towards generation of synthetic hourly global solar irradiation data from daily totals , 2020 .
[13] Muhammed A. Hassan,et al. Implicit regression-based correlations to predict the back temperature of PV modules in the arid region of south Algeria , 2020 .
[14] N. Bailek,et al. Comparison of artificial intelligence and empirical models for energy production estimation of 20 MWp solar photovoltaic plant at the Saharan Medium of Algeria , 2020, International Journal of Energy Sector Management.
[15] N. Bailek,et al. Adjustment of the Angstrom-Prescott equation from Campbell-Stokes and Kipp-Zonen sunshine measures at different timescales in Spain , 2020 .
[16] Lakhdar Saihi,et al. A PV-Active Power Filter Interface Scheme for Three Phase Balanced System , 2020 .
[17] N. Bailek,et al. Developing a new model for predicting global solar radiation on a horizontal surface located in Southwest Region of Algeria , 2020 .
[18] Mustapha Hatti. Smart Energy Empowerment in Smart and Resilient Cities , 2020, Lecture Notes in Networks and Systems.
[19] Kada Bouchouicha,et al. Estimation of Solar Power Output Using ANN Model: A Case Study of a 20-MW Solar PV Plan at Adrar, Algeria , 2019 .
[20] A. Abdul-Rahim,et al. Renewable energy consumption and economic growth nexus: A fresh evidence from West Africa , 2019, Energy Reports.
[21] Fathollah Pourfayaz,et al. Stand-alone hybrid energy systems for remote area power generation , 2019, Energy Reports.
[22] Mehdi Seyedmahmoudian,et al. Short-term PV power forecasting using hybrid GASVM technique , 2019, Renewable Energy.
[23] Ming-Lang Tseng,et al. Renewable energy prediction: A novel short-term prediction model of photovoltaic output power , 2019, Journal of Cleaner Production.
[24] Kada Bouchouicha,et al. Estimating the global solar irradiation and optimizing the error estimates under Algerian desert climate , 2019, Renewable Energy.
[25] Kada Bouchouicha,et al. Seasonal Performance Comparison of Four Electrical Models of Monocrystalline PV Module Operating in a Harsh Environment , 2019, IEEE Journal of Photovoltaics.
[26] Joaquín Alonso-Montesinos,et al. Hourly PV production estimation by means of an exportable multiple linear regression model , 2019, Renewable Energy.
[27] N. Bailek,et al. Estimation of Monthly Average Daily Global Solar Radiation Using Meteorological-Based Models in Adrar, Algeria , 2018, Applied Solar Energy.
[28] A. Bouraiou,et al. Effect of sand dust accumulation on photovoltaic performance in the Saharan environment: southern Algeria (Adrar) , 2018, Environmental Science and Pollution Research.
[29] Qie Sun,et al. Prediction of short-term PV power output and uncertainty analysis , 2018, Applied Energy.
[30] Ali Mostafaeipour,et al. Optimized fixed tilt for incident solar energy maximization on flat surfaces located in the Algerian Big South , 2018, Sustainable Energy Technologies and Assessments.
[31] A. Aba,et al. Atmospheric deposition fluxes of 137Cs associated with dust fallout in the northeastern Arabian Gulf. , 2018, Journal of environmental radioactivity.
[32] A. Al-Dousari,et al. Influences of Physiographic Factors, Vegetation Patterns and Human Impacts on Aeolian Landforms in Arid Environment , 2018, Arid Ecosystems.
[33] A. T. Siddiqui,et al. Estimation of monthly mean diffuse solar radiation over India: Performance of two variable models under different climatic zones , 2018 .
[34] David Alves Castelo Branco,et al. Performance estimation of photovoltaic technologies in Brazil , 2017 .
[35] Ahmed Fathy,et al. A novel optimal parameters identification of triple-junction solar cell based on a recently meta-heuristic water cycle algorithm , 2017 .
[36] Ming-Lang Tseng,et al. Using social media and qualitative and quantitative information scales to benchmark corporate sustainability , 2017 .
[37] N. Bailek,et al. Improved Mathematical Modeling of the Hourly Solar Diffuse Fraction ( HSDF )-Adrar , Algeria Case Study , 2017 .
[38] Kamaruzzaman Sopian,et al. Experimental investigation of dust pollutants and the impact of environmental parameters on PV performance: an experimental study , 2018, Environment, Development and Sustainability.
[39] Sishaj P. Simon,et al. Day-ahead forecasting of solar photovoltaic output power using multilayer perceptron , 2017, Neural Computing and Applications.
[40] Alain Bensoussan,et al. Improvement in artificial neural network-based estimation of grid connected photovoltaic power output , 2016 .
[41] A. Dolara,et al. Comparison of different physical models for PV power output prediction , 2015 .
[42] Mohammad Saad Alam,et al. Efficient prediction of maximum PV module output power through dynamic modeling , 2015 .
[43] Abhik Kumar Das,et al. An empirical model for ramp analysis of utility-scale solar PV power , 2014 .
[44] Kamaruzzaman Sopian,et al. DAILY GLOBAL SOLAR RADIATION ESTIMATE BASED ON SUNSHINE HOURS , 2011 .
[45] D. Hardin,et al. Support Vector Regression (SVR) , 2011 .
[46] Stanislav Darula,et al. Luminous effectiveness of tubular light-guides in tropics , 2010 .
[47] H. Tang,et al. Air Pollution Background Study In Boubyan Island Of Kuwait , 2006 .
[48] B. Rudolf,et al. World Map of the Köppen-Geiger climate classification updated , 2006 .
[49] D. Sikka. DESERT CLIMATE AND ITS DYNAMICS , 1997 .