A Novel Hybrid Model Based on Extreme Learning Machine, k-Nearest Neighbor Regression and Wavelet Denoising Applied to Short-Term Electric Load Forecasting

By Li Weide   Kong Demeng   Wu Jinran  

Energies, Vol. 10, Iss. 5, 2017-05 ,pp. : 694-694

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An Ensemble Model Based on Machine Learning Methods and Data Preprocessing for Short-Term Electric Load Forecasting

By Lin Yanbing   Luo Hongyuan   Wang Deyun   Guo Haixiang   Zhu Kejun  

Energies, Vol. 10, Iss. 8, 2017-08 ,pp. : 1186-1186

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Icing Forecasting of Transmission Lines with a Modified Back Propagation Neural Network-Support Vector Machine-Extreme Learning Machine with Kernel (BPNN-SVM-KELM) Based on the Variance-Covariance Weight Determination Method

By Niu Dongxiao   Liang Yi   Wang Haichao   Wang Meng   Hong Wei-Chiang  

Energies, Vol. 10, Iss. 8, 2017-08 ,pp. : 1196-1196

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Fault Diagnosis of On-Load Tap-Changer Based on Variational Mode Decomposition and Relevance Vector Machine

By Liu Jinxin   Wang Guan   Zhao Tong   Zhang Li  

Energies, Vol. 10, Iss. 7, 2017-07 ,pp. : 946-946

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Short-Term Load Forecasting Using EMD-LSTM Neural Networks with a Xgboost Algorithm for Feature Importance Evaluation

By Zheng Huiting   Yuan Jiabin   Chen Long  

Energies, Vol. 10, Iss. 8, 2017-08 ,pp. : 1168-1168

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