A Hybrid Model Based on Principal Component Analysis, Wavelet Transform, and Extreme Learning Machine Optimized by Bat Algorithm for Daily Solar Radiation Forecasting
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Zhang | Wei | Zhuoqun Wei | Xing Zhang
[1] Wei Sun,et al. Daily PM2.5 concentration prediction based on principal component analysis and LSSVM optimized by cuckoo search algorithm. , 2017, Journal of environmental management.
[2] Nikos Kourentzes,et al. Short-term solar irradiation forecasting based on Dynamic Harmonic Regression , 2015 .
[3] John Boland,et al. Forecasting solar radiation on an hourly time scale using a Coupled AutoRegressive and Dynamical System (CARDS) model , 2013 .
[4] A. Rabl,et al. The average distribution of solar radiation-correlations between diffuse and hemispherical and between daily and hourly insolation values , 1979 .
[5] S. Papadakis,et al. An in depth economic restructuring framework by using particle swarm optimization , 2019, Journal of Cleaner Production.
[6] Z. Tan,et al. Day-ahead electricity price forecasting using wavelet transform combined with ARIMA and GARCH models , 2010 .
[7] Yinglin Wang,et al. A genetic algorithm for optimized feature selection with resource constraints in software product lines , 2011, J. Syst. Softw..
[8] Qi Liu,et al. A novel hybrid bat algorithm for solving continuous optimization problems , 2018, Appl. Soft Comput..
[9] Badia Amrouche,et al. Artificial neural network based daily local forecasting for global solar radiation , 2014 .
[10] Danny Coomans,et al. Chapter 3 – Fundamentals of Wavelet Transforms , 2000 .
[11] I. Daubechies,et al. Synchrosqueezed wavelet transforms: An empirical mode decomposition-like tool , 2011 .
[12] M. A. Alsaad,et al. Simple hourly global solar radiation prediction models , 1991 .
[13] B. K. Panigrahi,et al. A hybrid wavelet-ELM based short term price forecasting for electricity markets , 2014 .
[14] Stéphanie Monjoly,et al. Hourly forecasting of global solar radiation based on multiscale decomposition methods: A hybrid approach , 2017 .
[15] Shaolong Sun,et al. A decomposition-clustering-ensemble learning approach for solar radiation forecasting , 2018 .
[16] Sirigiri Sivanagaraju,et al. Short Term Wind Speed Forecasting using Hybrid ELM Approach , 2017 .
[17] Wei Sun,et al. Factor analysis and forecasting of CO2 emissions in Hebei, using extreme learning machine based on particle swarm optimization , 2017 .
[18] Betul Bektas Ekici,et al. A least squares support vector machine model for prediction of the next day solar insolation for effective use of PV systems , 2014 .
[19] Hoay Beng Gooi,et al. Solar radiation forecast based on fuzzy logic and neural networks , 2013 .
[20] T. Soubdhan,et al. A benchmarking of machine learning techniques for solar radiation forecasting in an insular context , 2015 .
[21] Cyril Voyant,et al. Multi-horizon solar radiation forecasting for Mediterranean locations using time series models , 2013, ArXiv.
[22] Xin-She Yang,et al. Bat algorithm: a novel approach for global engineering optimization , 2012, 1211.6663.
[23] Ali Cheknane,et al. Forecasting hourly global solar radiation using hybrid k-means and nonlinear autoregressive neural network models , 2013 .
[24] Song Li,et al. Short-term load forecasting by wavelet transform and evolutionary extreme learning machine , 2015 .
[25] J. C. A. Barata,et al. The Moore–Penrose Pseudoinverse: A Tutorial Review of the Theory , 2011, 1110.6882.
[26] José R. Dorronsoro,et al. Hybrid machine learning forecasting of solar radiation values , 2016, Neurocomputing.
[27] Saeid Nahavandi,et al. Extreme learning machine based transfer learning algorithms: A survey , 2017, Neurocomputing.
[28] A. Selvakumar,et al. Assessment of SVM, empirical and ANN based solar radiation prediction models with most influencing input parameters , 2017, Renewable Energy.
[29] Ömer Nezih Gerek,et al. Harmonic analysis based hourly solar radiation forecasting model , 2015 .
[30] Ashish Khanna,et al. Optimized Binary Bat algorithm for classification of white blood cells , 2019, Measurement.
[31] Cyril Voyant,et al. Forecasting of preprocessed daily solar radiation time series using neural networks , 2010 .
[32] Ceyda Olcan,et al. Hybrid Fuzzy Time Series Methods Applied to Solar Radiation Forecasting , 2016, J. Multiple Valued Log. Soft Comput..
[33] Ali Akbar Abdoos,et al. A new intelligent method based on combination of VMD and ELM for short term wind power forecasting , 2016, Neurocomputing.
[34] Song Li,et al. An ensemble approach for short-term load forecasting by extreme learning machine , 2016 .
[35] Soteris A. Kalogirou,et al. An adaptive wavelet-network model for forecasting daily total solar-radiation , 2006 .
[36] Fatih Onur Hocaoglu,et al. A novel M-D (multi-dimensional) linear prediction filter approach for hourly solar radiation forecasting , 2014 .
[37] Wisnu Wicaksono,et al. Bat Algorithm Implementation on Economic Dispatch Optimization Problem , 2018 .
[38] Shuai Luo,et al. Empirical models for estimating global solar radiation in Wuhan City, China , 2018, The European Physical Journal Plus.
[39] A. Mellit,et al. A 24-h forecast of solar irradiance using artificial neural network: Application for performance prediction of a grid-connected PV plant at Trieste, Italy , 2010 .