暂无分享,去创建一个
Cyril Voyant | Marc Muselli | Christophe Paoli | Philippe Poggi | Marie-Laure Nivet | C. Darras | M. Muselli | P. Poggi | C. Voyant | M. Nivet | C. Paoli | C. Darras
[1] Cyril Voyant,et al. 24-hours ahead global irradiation forecasting using Multi-Layer Perceptron , 2013 .
[2] Adel Mellit,et al. Prediction of daily global solar irradiation data using Bayesian neural network: A comparative study , 2012 .
[3] Jagdish C. Patra,et al. Neural network‐based model for dual‐junction solar cells , 2011 .
[4] Soteris A. Kalogirou,et al. Artificial intelligence techniques for sizing photovoltaic systems: A review , 2009 .
[5] Hirohisa Aki,et al. Fuel cells and energy networks of electricity, heat, and hydrogen: A demonstration in hydrogen-fueled apartments , 2012 .
[6] R. Kuhlemann,et al. Rethinking satellite-based solar irradiance modelling: The SOLIS clear-sky module , 2004 .
[7] Athanasios Sfetsos,et al. Univariate and multivariate forecasting of hourly solar radiation with artificial intelligence techniques , 2000 .
[8] Hans-Georg Beyer,et al. Irradiance Forecasting for the Power Prediction of Grid-Connected Photovoltaic Systems , 2009, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.
[9] Gilles Notton,et al. PREDICTING HOURLY SOLAR IRRADIATIONS ON INCLINED SURFACES BASED ON THE HORIZONTAL MEASUREMENTS: PERFORMANCES OF THE ASSOCIATION OF WELL-KNOWN MATHEMATICAL MODELS , 2006 .
[10] Dave Winkler,et al. Bayesian Regularization of Neural Networks , 2009, Artificial Neural Networks.
[11] David J. C. MacKay,et al. A Practical Bayesian Framework for Backpropagation Networks , 1992, Neural Computation.
[12] Viorel Badescu,et al. Nowcasting sunshine number using logistic modeling , 2013, Meteorology and Atmospheric Physics.
[13] Soteris A. Kalogirou,et al. Artificial intelligence techniques for photovoltaic applications: A review , 2008 .
[14] Cyril Voyant,et al. Forecasting of preprocessed daily solar radiation time series using neural networks , 2010 .
[15] Cyril Voyant,et al. Optimization of an artificial neural network dedicated to the multivariate forecasting of daily glob , 2011 .
[16] Soteris A. Kalogirou,et al. A comparison between BNN and regression polynomial methods for the evaluation of the effect of soiling in large scale photovoltaic plants , 2013 .
[17] John Boland,et al. Bayesian statistical analysis applied to solar radiation modelling , 2013 .
[18] Thorsteinn I. Sigfusson,et al. Hydrogen energy – abundant, efficient, clean a debate over the energy-system-of-change , 2009 .
[19] Cyril Voyant,et al. Numerical Weather Prediction (NWP) and hybrid ARMA/ANN model to predict global radiation , 2012, ArXiv.
[20] S. N. Alamri,et al. ANN-based modelling and estimation of daily global solar radiation data: A case study , 2009 .
[21] Gavin C. Cawley,et al. Statistical models to assess the health effects and to forecast ground-level ozone , 2006, Environ. Model. Softw..
[22] Viorel Badescu,et al. Weather Modeling and Forecasting of PV Systems Operation , 2012 .
[23] Arjan Kuijper,et al. Mutual information aspects of scale space images , 2004, Pattern Recognit..
[24] Cyril Voyant,et al. PV output power fluctuations smoothing: The MYRTE platform experience , 2012 .
[25] Didier Mayer,et al. Performance Prediction of Grid-Connected Photovoltaic Systems Using Remote Sensing , 2008 .
[26] Carl-Jochen Winter,et al. Hydrogen energy — Abundant, efficient, clean: A debate over the energy-system-of-change☆ , 2009 .