| 1 |
Daily natural gas consumption forecasting via the application of a novel hybrid model
Wei N, Li CJ, Peng XL, Li Y, Zeng FH
Applied Energy, 250, 358, 2019 |
| 2 |
A novel combination forecasting model for wind power integrating least square support vector machine, deep belief network, singular spectrum analysis and locality-sensitive hashing
Zhang YC, Le J, Liao XB, Zheng F, Li YH
Energy, 168, 558, 2019 |
| 3 |
Wind speed prediction model using singular spectrum analysis, empirical mode decomposition and convolutional support vector machine
Mi XW, Liu H, Li YF
Energy Conversion and Management, 180, 196, 2019 |
| 4 |
Multi-step short-term wind speed forecasting approach based on multi-scale dominant ingredient chaotic analysis, improved hybrid GWO-SCA optimization and ELM
Fu WL, Wang K, Li CS, Tan JW
Energy Conversion and Management, 187, 356, 2019 |
| 5 |
Smart wind speed deep learning based multi-step forecasting model using singular spectrum analysis, convolutional Gated Recurrent Unit network and Support Vector Regression
Liu H, Mi XW, Li YF, Duan Z, Xu YA
Renewable Energy, 143, 842, 2019 |
| 6 |
Smart multi-step deep learning model for wind speed forecasting based on variational mode decomposition, singular spectrum analysis, LSTM network and ELM
Liu H, Mi XW, Li YF
Energy Conversion and Management, 159, 54, 2018 |
| 7 |
Wind speed forecasting approach based on Singular Spectrum Analysis and Adaptive Neuro Fuzzy Inference System
Moreno SR, Coelho LD
Renewable Energy, 126, 736, 2018 |
| 8 |
Comparative study on three new hybrid models using Elman Neural Network and Empirical Mode Decomposition based technologies improved by Singular Spectrum Analysis for hour-ahead wind speed forecasting
Yu CJ, Li YL, Zhang MJ
Energy Conversion and Management, 147, 75, 2017 |
| 9 |
Multi-step wind speed forecasting based on a hybrid forecasting architecture and an improved bat algorithm
Xiao LY, Qian F, Shao W
Energy Conversion and Management, 143, 410, 2017 |
| 10 |
An improved Wavelet Transform using Singular Spectrum Analysis for wind speed forecasting based on Elman Neural Network
Yu CJ, Li YL, Zhang MJ
Energy Conversion and Management, 148, 895, 2017 |
