Prediction bands for solar energy: New short-term time series forecasting techniques
暂无分享,去创建一个
[1] R. Geary,et al. Testing for Normality , 2003 .
[2] A W Gillies,et al. Einfuhrung In Theorie Und Anwendung Der Laplace-Transformation , 1959 .
[3] C. Lanczos. Applied Analysis , 1961 .
[4] Edward Nelson. Internal set theory: A new approach to nonstandard analysis , 1977 .
[5] J. Harthong. Le moiré , 1981 .
[6] R. Engle. Autoregressive conditional heteroscedasticity with estimates of the variance of United Kingdom inflation , 1982 .
[7] T. Bollerslev,et al. Generalized autoregressive conditional heteroskedasticity , 1986 .
[8] Anil K. Bera,et al. A Test for Normality of Observations and , 1987 .
[9] Anil K. Bera,et al. A test for normality of observations and regression residuals , 1987 .
[10] F Diener,et al. Analyse non standard , 1989 .
[11] E. Ziegel. Introduction to the Theory and Practice of Econometrics , 1989 .
[12] Guy Melard,et al. Méthodes de prévision à court terme , 1990 .
[13] David Williams,et al. Probability with Martingales , 1991, Cambridge mathematical textbooks.
[14] Richard A. Davis,et al. Time Series: Theory and Methods , 2013 .
[15] P. Cartier,et al. Integration over finite sets , 1995 .
[16] John Boland,et al. Time-series analysis of climatic variables , 1995 .
[17] J. Bollinger. Bollinger on Bollinger Bands , 2001 .
[18] M. Fliess,et al. An algebraic framework for linear identification , 2003 .
[19] W. Härdle. Nonparametric and Semiparametric Models , 2004 .
[20] R. Kuhlemann,et al. Rethinking satellite-based solar irradiance modelling: The SOLIS clear-sky module , 2004 .
[21] B. A. Shenoi,et al. Introduction to Digital Signal Processing and Filter Design , 2005 .
[22] C. Willmott,et al. Advantages of the mean absolute error (MAE) over the root mean square error (RMSE) in assessing average model performance , 2005 .
[23] L. Wasserman. All of Nonparametric Statistics , 2005 .
[24] P. Campbell. The (mis)Behavior of Markets: A Fractal View of Risk, Ruin, and Reward/Fractals and Scaling in Finance: Discontinuity, Concentration, Risk/Yale Alumni Magazine , 2005 .
[25] Michel Fliess,et al. Analyse non standard du bruit , 2006, ArXiv.
[26] Rob J. Hyndman,et al. Another Look at Forecast Accuracy Metrics for Intermittent Demand , 2006 .
[27] C. Kirkpatrick,et al. Technical Analysis: The Complete Resource for Financial Market Technicians , 2006 .
[28] Daniel G. Goldstein,et al. We Don't Quite Know What We Are Talking About , 2007 .
[29] Hebertt Sira-Ramírez,et al. Closed-loop parametric identification for continuous-time linear systems via new algebraic techniques , 2007 .
[30] Tewfik Sari,et al. Non-standard analysis and representation of reality , 2008, Int. J. Control.
[31] Cédric Join,et al. Numerical differentiation with annihilators in noisy environment , 2009, Numerical Algorithms.
[32] John Boland,et al. Time Series Modelling of Solar Radiation , 2008 .
[33] Cédric Join,et al. Non-linear estimation is easy , 2007, Int. J. Model. Identif. Control..
[34] Peter Lynch,et al. The origins of computer weather prediction and climate modeling , 2008, J. Comput. Phys..
[35] P. Ineichen. A broadband simplified version of the Solis clear sky model , 2008 .
[36] C. Lobry. La méthode des élucidations successives , 2008 .
[37] Henrik Madsen,et al. Online short-term solar power forecasting , 2009 .
[38] Gordon Reikard. Predicting solar radiation at high resolutions: A comparison of time series forecasts , 2009 .
[39] Cédric Join,et al. A Mathematical Proof of the Existence of Trends in Financial Time Series , 2009, ArXiv.
[40] A. Ghanbarzadeh,et al. The potential of different artificial neural network (ANN) techniques in daily global solar radiation modeling based on meteorological data , 2010 .
[41] L. Zarzalejo,et al. Prediction of global solar irradiance based on time series analysis: Application to solar thermal power plants energy production planning , 2010 .
[42] Cyril Voyant,et al. Forecasting of preprocessed daily solar radiation time series using neural networks , 2010 .
[43] Michel Fliess,et al. Une "commande sans modèle" pour aménagements hydroélectriques en cascade , 2013 .
[44] N. Vakil. Real Analysis through Modern Infinitesimals: Internal set theory , 2011 .
[45] C. K. Chan,et al. Prediction of hourly solar radiation using a novel hybrid model of ARMA and TDNN , 2011 .
[46] Cyril Voyant,et al. Optimization of an artificial neural network dedicated to the multivariate forecasting of daily glob , 2011 .
[47] Claude E. Duchon,et al. Time Series Analysis in Meteorology and Climatology: An Introduction , 2011 .
[48] Nelson A. Kelly,et al. Increasing the solar photovoltaic energy capture on sunny and cloudy days , 2011 .
[49] Cédric Join,et al. Model-free control , 2013, Int. J. Control.
[50] R. Inman,et al. Solar forecasting methods for renewable energy integration , 2013 .
[51] M. Diagne,et al. Review of solar irradiance forecasting methods and a proposition for small-scale insular grids , 2013 .
[52] Robin Willink,et al. Measurement Uncertainty and Probability: References , 2013 .
[53] Cyril Voyant,et al. Multi-horizon solar radiation forecasting for Mediterranean locations using time series models , 2013, ArXiv.
[54] Frederik Herzberg,et al. Radically Elementary Probability Theory , 2013 .
[55] T. Chai,et al. Root mean square error (RMSE) or mean absolute error (MAE)? – Arguments against avoiding RMSE in the literature , 2014 .
[56] Carlos García Rodríguez,et al. Algebraic Identification and Estimation Methods in Feedback Control Systems , 2014 .
[57] Cédric Join,et al. Short-term solar irradiance and irradiation forecasts via different time series techniques: A preliminary study , 2014, 3rd International Symposium on Environmental Friendly Energies and Applications (EFEA).
[58] K. Uma Rao,et al. Development of statistical time series models for solar power prediction , 2015 .
[59] Jean-François Balmat,et al. A model-free control strategy for an experimental greenhouse with an application to fault accommodation , 2014, Comput. Electron. Agric..
[60] Cédric Join,et al. TOWARDS A NEW VIEWPOINT ON CAUSALITY FOR TIME SERIES , 2015 .
[61] Nikos Kourentzes,et al. Short-term solar irradiation forecasting based on Dynamic Harmonic Regression , 2015 .
[62] Irena Koprinska,et al. 2D-interval forecasts for solar power production , 2015 .
[63] Cyril Voyant,et al. Statistical parameters as a means to a priori assess the accuracy of solar forecasting models , 2015 .
[64] Bri-Mathias Hodge,et al. A suite of metrics for assessing the performance of solar power forecasting , 2015 .
[65] Cédric Join,et al. On meteorological forecasts for energy management and large historical data: A first look , 2015 .
[66] Ali Assi,et al. Enhancing the performance of heaving wave energy converters using model-free control approach , 2015 .
[67] Martial Haeffelin,et al. Reliability of day-ahead solar irradiance forecasts on Reunion Island depending on synoptic wind and humidity conditions , 2015 .
[68] T. Soubdhan,et al. A benchmarking of machine learning techniques for solar radiation forecasting in an insular context , 2015 .
[69] John Boland,et al. Spatial-temporal forecasting of solar radiation , 2015 .
[70] Lu Zhao,et al. Forecasting of global horizontal irradiance by exponential smoothing, using decompositions , 2015 .
[71] Ralf Mikut,et al. Information and communication technology in energy lab 2.0: Smart energies system simulation and control center with an open-street-map-based power flow simulation example , 2016 .
[72] R. Urraca,et al. Review of photovoltaic power forecasting , 2016 .
[73] Philippe Lauret,et al. Probabilistic forecasting of the solar irradiance with recursive ARMA and GARCH models , 2016 .
[74] John Boland,et al. Nonparametric short-term probabilistic forecasting for solar radiation , 2016 .
[75] Irena Koprinska,et al. Neural Network Ensemble Based Approach for 2D-Interval Prediction of Solar Photovoltaic Power , 2016 .
[76] Reward Book. The Misbehavior Of Markets A Fractal View Of Risk Ruin And Reward , 2016 .
[77] Cédric Join,et al. Solar energy production: Short-term forecasting and risk management , 2016, ArXiv.
[78] Rob J Hyndman,et al. Probabilistic energy forecasting: Global Energy Forecasting Competition 2014 and beyond , 2016 .
[79] Luigi Fortuna,et al. Nonlinear Modeling of Solar Radiation and Wind Speed Time Series , 2016 .
[80] Markus Reischl,et al. Photovoltaic power forecasting using simple data-driven models without weather data , 2017, Computer Science - Research and Development.
[81] Juan R. Trapero,et al. Calculation of solar irradiation prediction intervals combining volatility and kernel density estimates , 2016 .
[82] M. Paolone,et al. Ultra-short-term prediction intervals of photovoltaic AC active power , 2016, 2016 International Conference on Probabilistic Methods Applied to Power Systems (PMAPS).
[83] J. A. Somolinos,et al. Online signal filtering based on the algebraic method and its experimental validation , 2016 .
[84] Michel Fliess,et al. Model-free load control for high penetration of solar photovoltaic generation , 2017, 2017 North American Power Symposium (NAPS).
[85] Ralf Mikut,et al. Nearest-Neighbor Based Non-Parametric Probabilistic Forecasting with Applications in Photovoltaic Systems , 2017, ArXiv.
[86] Francisco Beltran-Carbajal,et al. A fast parametric estimation approach of signals with multiple frequency harmonics , 2017 .
[87] Mathieu David,et al. Probabilistic Solar Forecasting Using Quantile Regression Models , 2017 .
[88] Kazuyuki Aihara,et al. Improving time series prediction of solar irradiance after sunrise: Comparison among three methods for time series prediction , 2017 .
[89] Ralf Mikut,et al. On the use of probabilistic forecasts in scheduling of renewable energy sources coupled to storages , 2018 .