Predicting power production from a photovoltaic panel through artificial neural networks using atmospheric indicators
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[1] Mutlu Boztepe,et al. Neural network based solar cell model , 2006 .
[2] Furkan Dincer,et al. OVERVIEW OF THE PHOTOVOLTAIC TECHNOLOGY STATUS AND PERSPECTIVE IN TURKEY , 2011 .
[3] Jorge Aguilera,et al. Recurrent Neural Supervised Models for Generating Solar Radiation Synthetic Series , 2001, J. Intell. Robotic Syst..
[4] R. Bhandari,et al. Grid parity analysis of solar photovoltaic systems in Germany using experience curves , 2009 .
[5] Adel Mellit,et al. An adaptive artificial neural network model for sizing stand-alone photovoltaic systems: application for isolated sites in Algeria , 2005 .
[6] B. Pradhan,et al. Landslide susceptibility assessment in the Hoa Binh province of Vietnam: A comparison of the Levenberg–Marquardt and Bayesian regularized neural networks , 2012 .
[7] Takashi Hiyama,et al. Identification of optimal operating point of PV modules using neural network for real time maximum power tracking control , 1995 .
[8] Takashi Hiyama,et al. Neural network based estimation of maximum power generation from PV module using environmental information , 1997 .
[9] Eyad S. Hrayshat,et al. Analysis of Renewable Energy Situation in Jordan , 2007 .
[10] Engin Karatepe,et al. ANN based Real-Time Estimation of Power Generation of Different PV Module Types , 2009 .
[11] Soteris A. Kalogirou,et al. Modeling and simulation of a stand-alone photovoltaic system using an adaptive artificial neural network: Proposition for a new sizing procedure , 2007 .
[12] T. Tudorache,et al. A simple neural network solar tracker for optimizing conversion efficiency in off-grid solar generators , 2008 .
[13] Soteris A. Kalogirou,et al. An adaptive wavelet-network model for forecasting daily total solar-radiation , 2006 .
[14] Soteris A. Kalogirou,et al. Artificial neural network-based model for estimating the produced power of a photovoltaic module , 2013 .
[15] Saad Mekhilef,et al. Effect of dust, humidity and air velocity on efficiency of photovoltaic cells , 2012 .
[16] Adel Mellit,et al. A simplified model for generating sequences of global solar radiation data for isolated sites: Using artificial neural network and a library of Markov transition matrices approach , 2005 .
[17] N. H. Helwa,et al. Maximum power point traking controller for PV systems using neural networks , 2005 .
[18] N. H. Helwa,et al. Estimation of the maximum power and normal operating power of a photovoltaic module by neural networks , 2004 .
[19] M. Kayri. An Intelligent Approach to Educational Data: Performance Comparison of the Multilayer Perceptron and the Radial Basis Function Artificial Neural Networks , 2015 .
[20] Rui Castro,et al. Sun Tracking PV Power Plants: Experimental Validation of Irradiance and Power Output Prediction Models , 2012 .
[21] Llanos Mora-López,et al. Photovoltaic module simulation by neural networks using solar spectral distribution , 2013 .
[22] Alessandro Massi Pavan,et al. A study on the mismatch effect due to the use of different photovoltaic modules classes in large‐scale solar parks , 2014 .
[23] Manuel Fuentes,et al. Characterisation of Si-crystalline PV modules by artificial neural networks , 2009 .
[24] M. AbdulHadi,et al. Neuro-fuzzy-based solar cell model , 2004, IEEE Transactions on Energy Conversion.
[25] Ashwani Kumar,et al. Renewable energy in India: Current status and future potentials , 2010 .
[26] Chiranjeeb Dutta,et al. ANN based peak power tracking for PV supplied DC motors. , 2009 .
[27] T. H. Ortmeyer,et al. Evaluation of neural network based real time maximum power tracking controller for PV system , 1995 .
[28] Zhang Peidong,et al. Opportunities and Challenges for Renewable Energy Policy in China , 2009, Renewable Energy.