Forecasting electricity load with advanced wavelet neural networks
暂无分享,去创建一个
[1] Quan Chen,et al. A neural network based very short term load forecaster for the interim ISO New England electricity market system , 2001, PICA 2001. Innovative Computing for Power - Electric Energy Meets the Market. 22nd IEEE Power Engineering Society. International Conference on Power Industry Computer Applications (Cat. No.01CH37195).
[2] Irena Koprinska,et al. Electricity load forecasting using non-decimated wavelet prediction methods with two-stage feature selection , 2012, The 2012 International Joint Conference on Neural Networks (IJCNN).
[3] R. Stephenson. A and V , 1962, The British journal of ophthalmology.
[4] Yiming Yang,et al. A Comparative Study on Feature Selection in Text Categorization , 1997, ICML.
[5] J. W. Taylor,et al. Short-term electricity demand forecasting using double seasonal exponential smoothing , 2003, J. Oper. Res. Soc..
[6] Ronald R. Coifman,et al. Local discriminant bases , 1994, Optics & Photonics.
[7] Irena Koprinska,et al. Wavelet Neural Networks for Electricity Load Forecasting - Dealing with Border Distortion and Shift Invariance , 2013, ICANN.
[8] Irena Koprinska,et al. Yearly and seasonal models for electricity load forecasting , 2011, The 2011 International Joint Conference on Neural Networks.
[9] M. Vetterli,et al. Wavelets, subband coding, and best bases , 1996, Proc. IEEE.
[10] Ying Chen,et al. Very short-term load forecasting: Multilevel wavelet neural networks with data pre-filtering , 2009, 2009 IEEE Power & Energy Society General Meeting.
[11] Cheng Hao Jin,et al. A SOM clustering pattern sequence-based next symbol prediction method for day-ahead direct electricity load and price forecasting , 2015 .
[12] Hao Yu,et al. Levenberg—Marquardt Training , 2011 .
[13] James W. Taylor. An evaluation of methods for very short-term load forecasting using minute-by-minute British data , 2008 .
[14] Agnaldo J. R. Reis,et al. Feature extraction via multiresolution analysis for short-term load forecasting , 2005, IEEE Transactions on Power Systems.
[15] Carlos E. Pedreira,et al. Neural networks for short-term load forecasting: a review and evaluation , 2001 .
[16] Hui Liu,et al. Comparison of new hybrid FEEMD-MLP, FEEMD-ANFIS, Wavelet Packet-MLP and Wavelet Packet-ANFIS for wind speed predictions , 2015 .
[17] J. Ramos,et al. Electricity Market Price Forecasting Based on Weighted Nearest Neighbors Techniques , 2007, IEEE Transactions on Power Systems.
[18] Alicia Troncoso Lora,et al. Time-Series Prediction: Application to the Short-Term Electric Energy Demand , 2003, CAEPIA.
[19] P. Young,et al. Time series analysis, forecasting and control , 1972, IEEE Transactions on Automatic Control.
[20] Chao Chen,et al. An experimental investigation of two Wavelet-MLP hybrid frameworks for wind speed prediction using GA and PSO optimization , 2013 .
[21] J. R. Quinlan. Learning With Continuous Classes , 1992 .
[22] Nasir M. Rajpoot,et al. Optimal Wavelet Basis for Wavelet Packets based Meningioma Subtype Classification , 2008 .
[23] Martin Greiner,et al. Wavelets , 2018, Complex..
[24] Z.A. Bashir,et al. Applying Wavelets to Short-Term Load Forecasting Using PSO-Based Neural Networks , 2009, IEEE Transactions on Power Systems.
[25] Denis Vautrin,et al. A Novel Criterion of Wavelet Packet Best Basis Selection for Signal Classification With Application to Brain–Computer Interfaces , 2009, IEEE Transactions on Biomedical Engineering.
[26] Francisco Martinez Alvarez,et al. Energy Time Series Forecasting Based on Pattern Sequence Similarity , 2011, IEEE Transactions on Knowledge and Data Engineering.
[27] Geoff Holmes,et al. Generating Rule Sets from Model Trees , 1999, Australian Joint Conference on Artificial Intelligence.
[28] Hui Liu,et al. Forecasting models for wind speed using wavelet, wavelet packet, time series and Artificial Neural Networks , 2013 .
[29] Isabelle Guyon,et al. An Introduction to Variable and Feature Selection , 2003, J. Mach. Learn. Res..
[30] Peter B. Luh,et al. Short-term load forecasting: Multi-level wavelet neural networks with holiday corrections , 2009, 2009 IEEE Power & Energy Society General Meeting.
[31] Joao P. S. Catalao,et al. Short-term wind power forecasting in Portugal by neural networks and wavelet transform , 2011 .
[32] B. Silverman,et al. The Stationary Wavelet Transform and some Statistical Applications , 1995 .
[33] Stéphane Mallat,et al. A Theory for Multiresolution Signal Decomposition: The Wavelet Representation , 1989, IEEE Trans. Pattern Anal. Mach. Intell..
[34] Gwilym M. Jenkins,et al. Time series analysis, forecasting and control , 1971 .
[35] Yik-Chung Wu,et al. Load/Price Forecasting and Managing Demand Response for Smart Grids: Methodologies and Challenges , 2012, IEEE Signal Processing Magazine.
[36] P. McSharry,et al. A comparison of univariate methods for forecasting electricity demand up to a day ahead , 2006 .
[37] Ronald R. Coifman,et al. Entropy-based algorithms for best basis selection , 1992, IEEE Trans. Inf. Theory.
[38] W. Marsden. I and J , 2012 .
[39] A. Kraskov,et al. Estimating mutual information. , 2003, Physical review. E, Statistical, nonlinear, and soft matter physics.
[40] Ying Chen,et al. Short-Term Load Forecasting: Similar Day-Based Wavelet Neural Networks , 2010, IEEE Transactions on Power Systems.
[41] W. Charytoniuk,et al. Very short-term load forecasting using artificial neural networks , 2000 .