Electricity Load Forecasting Using Support Vector Regression with Memetic Algorithms
暂无分享,去创建一个
Zhongyi Hu | Yukun Bao | Tao Xiong | Yukun Bao | T. Xiong | Zhongyi Hu
[1] Lester C. Hunt,et al. Electricity demand for Sri Lanka : A time series analysis , 2008 .
[2] Kristin P. Bennett,et al. A Pattern Search Method for Model Selection of Support Vector Regression , 2002, SDM.
[3] Tomonobu Senjyu,et al. A neural network based several-hour-ahead electric load forecasting using similar days approach , 2006 .
[4] Richard J. Beckman,et al. A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output From a Computer Code , 2000, Technometrics.
[5] Rob J Hyndman,et al. Automatic Time Series Forecasting: The forecast Package for R , 2008 .
[6] Samer S. Saab,et al. Univariate modeling and forecasting of energy consumption: the case of electricity in Lebanon , 2001 .
[7] Ping-Feng Pai,et al. Support Vector Machines with Simulated Annealing Algorithms in Electricity Load Forecasting , 2005 .
[8] K. Chandrasekaran,et al. Optimal Deviation Based Firefly Algorithm Tuned Fuzzy Design for Multi-Objective UCP , 2013, IEEE Transactions on Power Systems.
[9] Farshid Keynia,et al. A New Neural Network Approach to Short Term Load Forecasting of Electrical Power Systems , 2011 .
[10] Tingting Guo,et al. Short-Term Load Forecasting for Electric Power Systems Using the PSO-SVR and FCM Clustering Techniques , 2011 .
[11] Amaury Lendasse,et al. Methodology for long-term prediction of time series , 2007, Neurocomputing.
[12] Z.A. Bashir,et al. Applying Wavelets to Short-Term Load Forecasting Using PSO-Based Neural Networks , 2009, IEEE Transactions on Power Systems.
[13] Zhen Yang,et al. Effective Memetic Algorithms for VLSI Design = Genetic Algorithms Local Search Multi-Level Clustering , 2004, Evolutionary Computation.
[14] Fred L. Collopy,et al. Error Measures for Generalizing About Forecasting Methods: Empirical Comparisons , 1992 .
[15] Wei-Chiang Hong,et al. Application of SVR with chaotic GASA algorithm in cyclic electric load forecasting , 2012 .
[16] Zhongyi Hu,et al. Multiple-output support vector regression with a firefly algorithm for interval-valued stock price index forecasting , 2014, Knowl. Based Syst..
[17] S. Fan,et al. Short-term load forecasting based on an adaptive hybrid method , 2006, IEEE Transactions on Power Systems.
[18] Yew-Soon Ong,et al. A Probabilistic Memetic Framework , 2009, IEEE Transactions on Evolutionary Computation.
[19] Bijaya Ketan Panigrahi,et al. Cyclic electric load forecasting by seasonal SVR with chaotic genetic algorithm , 2013 .
[20] Philippe Lauret,et al. Bayesian neural network approach to short time load forecasting , 2008 .
[21] Amir Hossein Gandomi,et al. Firefly Algorithm for solving non-convex economic dispatch problems with valve loading effect , 2012, Appl. Soft Comput..
[22] Jae Hong Park,et al. Composite modeling for adaptive short-term load forecasting , 1991 .
[23] Huiru Zhao,et al. Annual Electric Load Forecasting by a Least Squares Support Vector Machine with a Fruit Fly Optimization Algorithm , 2012 .
[24] Wei-Chiang Hong,et al. SVR with Hybrid Chaotic Immune Algorithm for Seasonal Load Demand Forecasting , 2011 .
[25] Yves Croissant,et al. Panel data econometrics in R: The plm package , 2008 .
[26] Q. Henry Wu,et al. Electric Load Forecasting Based on Locally Weighted Support Vector Regression , 2010, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).
[27] Wei-Chiang Hong,et al. Electric load forecasting by support vector model , 2009 .
[28] Yew-Soon Ong,et al. Memetic Computation—Past, Present & Future [Research Frontier] , 2010, IEEE Computational Intelligence Magazine.
[29] Zhitao Liu,et al. A Fast Grid Search Method in Support Vector Regression Forecasting Time Series , 2006, IDEAL.
[30] Rob J Hyndman,et al. Another look at measures of forecast accuracy , 2006 .
[31] F. Diebold,et al. Comparing Predictive Accuracy , 1994, Business Cycles.
[32] Chih-Jen Lin,et al. A Practical Guide to Support Vector Classication , 2008 .
[33] Jianjun Wang,et al. An annual load forecasting model based on support vector regression with differential evolution algorithm , 2012 .
[34] Jing Tang,et al. Diversity-adaptive parallel memetic algorithm for solving large scale combinatorial optimization problems , 2006, Soft Comput..
[35] Chris Chatfield,et al. Comparative Models for Electrical Load Forecasting. , 1986 .
[36] Wei-Chiang Hong,et al. Chaotic particle swarm optimization algorithm in a support vector regression electric load forecasting model , 2009 .
[37] Wei-Chiang Hong,et al. Electric load forecasting by seasonal recurrent SVR (support vector regression) with chaotic artific , 2011 .
[38] R. Adapa,et al. The impacts of temperature forecast uncertainty on Bayesian load forecasting , 1998 .
[39] A. Goia,et al. Functional clustering and linear regression for peak load forecasting , 2010 .
[40] Robert Michael Lewis,et al. On the Local Convergence of Pattern Search , 2003, SIAM J. Optim..
[41] Zhongyi Hu,et al. Forecasting Air Passenger Traffic by Support Vector Machines with Ensemble Empirical Mode Decomposition and Slope-Based Method , 2012 .
[42] Vladimir N. Vapnik,et al. The Nature of Statistical Learning Theory , 2000, Statistics for Engineering and Information Science.
[43] F. Tay,et al. Application of support vector machines in financial time series forecasting , 2001 .
[44] Vladimir Vapnik,et al. Statistical learning theory , 1998 .
[45] André Carlos Ponce de Leon Ferreira de Carvalho,et al. Combining meta-learning and search techniques to select parameters for support vector machines , 2012, Neurocomputing.
[46] Ping-Feng Pai,et al. Forecasting regional electricity load based on recurrent support vector machines with genetic algorithms , 2005 .
[47] Carlos E. Pedreira,et al. Neural networks for short-term load forecasting: a review and evaluation , 2001 .
[48] Zhongyi Hu,et al. A PSO and pattern search based memetic algorithm for SVMs parameters optimization , 2013, Neurocomputing.
[49] Kay Chen Tan,et al. A Multi-Facet Survey on Memetic Computation , 2011, IEEE Transactions on Evolutionary Computation.
[50] Shawki Areibi,et al. Strength Pareto Particle Swarm Optimization and Hybrid EA-PSO for Multi-Objective Optimization , 2010, Evolutionary Computation.
[51] Xin-She Yang,et al. Firefly Algorithms for Multimodal Optimization , 2009, SAGA.
[52] David J. Groggel,et al. Practical Nonparametric Statistics , 2000, Technometrics.
[53] Sayan Mukherjee,et al. Choosing Multiple Parameters for Support Vector Machines , 2002, Machine Learning.
[54] Carlos Cotta,et al. Memetic algorithms and memetic computing optimization: A literature review , 2012, Swarm Evol. Comput..
[55] Jianzhou Wang,et al. A trend fixed on firstly and seasonal adjustment model combined with the ε-SVR for short-term forecasting of electricity demand , 2009 .
[56] Ravi Sankar,et al. Time Series Prediction Using Support Vector Machines: A Survey , 2009, IEEE Computational Intelligence Magazine.
[57] Zhongyi Hu,et al. Multi-step-ahead time series prediction using multiple-output support vector regression , 2014, Neurocomputing.