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G. Huang, Q. Zhu, C. Siew (2006)
Extreme learning machine: Theory and applicationsNeurocomputing, 70
G. Huang, Lei Chen, C. Siew (2006)
Universal approximation using incremental constructive feedforward networks with random hidden nodesIEEE transactions on neural networks, 17 4
Geoffrey Webb, Zijian Zheng (2004)
Multistrategy ensemble learning: reducing error by combining ensemble learning techniquesIEEE Transactions on Knowledge and Data Engineering, 16
H. Hippert, C. Pedreira, R. Souza (2001)
Neural networks for short-term load forecasting: a review and evaluationIEEE Transactions on Power Systems, 16
A. Khotanzad, R. Afkhami-Rohani, Tsun-Liang Lu, A. Abaye, M. Davis, D. Maratukulam (1997)
ANNSTLF-a neural-network-based electric load forecasting systemIEEE transactions on neural networks, 8 4
P. Perner (2002)
Data Mining - Concepts and TechniquesKünstliche Intell., 16
Bureau of Meteorology of Australian Government
Zhi-Hua Zhou, Jianxin Wu, Wei Tang (2002)
Ensembling neural networks: Many could be better than allArtif. Intell., 137
S. Fan, Luonan Chen, Weijen Lee (2009)
Short-Term Load Forecasting Using Comprehensive Combination Based on Multimeteorological InformationIEEE Transactions on Industry Applications, 45
Yan Xu, Yuanyu Dai, Z. Dong, Rui Zhang, K. Meng (2013)
Extreme learning machine-based predictor for real-time frequency stability assessment of electric power systemsNeural Computing and Applications, 22
Nan-Ying Liang, G. Huang, P. Saratchandran, N. Sundararajan (2006)
A Fast and Accurate Online Sequential Learning Algorithm for Feedforward NetworksIEEE Transactions on Neural Networks, 17
Load Forecasting SO_OP3710.pdf
D. Baczyński, M. Parol (2004)
Influence of artificial neural network structure on quality of short-term electric energy consumption forecast, 151
G. Huang, Dianhui Wang, Yuan Lan (2011)
Extreme learning machines: a surveyInternational Journal of Machine Learning and Cybernetics, 2
Yuan Lan, Y. Soh, G. Huang (2009)
Ensemble of online sequential extreme learning machineNeurocomputing, 72
Zhou Zhi (2002)
Neural Network EnsembleChinese Journal of Computers
(1985)
Comparative models for electrical load forecasting
A. Nizar, Zhao Dong, Y. Wang (2008)
Power Utility Nontechnical Loss Analysis With Extreme Learning Machine MethodIEEE Transactions on Power Systems, 23
A. Khotanzad, R. Afkhami-Rohani, D. Maratukulam (1998)
ANNSTLF-Artificial Neural Network Short-Term Load Forecaster- generation threeIEEE Transactions on Power Systems, 13
P. Bartlett (1998)
The Sample Complexity of Pattern Classification with Neural Networks: The Size of the Weights is More Important than the Size of the NetworkIEEE Trans. Inf. Theory, 44
G. Huang, Hongming Zhou, Xiaojian Ding, Rui Zhang (2012)
Extreme Learning Machine for Regression and Multiclass ClassificationIEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics), 42
Yan Xu, Z. Dong, K. Meng, Rui Zhang, K. Wong (2011)
Real-time transient stability assessment model using extreme learning machineIet Generation Transmission & Distribution, 5
Zhan-Li Sun, T. Choi, K. Au, Yong Yu (2008)
Sales forecasting using extreme learning machine with applications in fashion retailingDecis. Support Syst., 46
IET Generation, Transmission & Distribution – Wiley
Published: Apr 1, 2013
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