| 1 |
Multi-step wind speed forecast based on sample clustering and an optimized hybrid system
Chen XJ, Zhao J, Jia XZ, Li ZL
Renewable Energy, 165, 595, 2021 |
| 2 |
Deterministic and probabilistic wind speed forecasting with de-noising-reconstruction strategy and quantile regression based algorithm
Hu JM, Heng JN, Wen JM, Zhao WG
Renewable Energy, 162, 1208, 2020 |
| 3 |
Designing a multi-stage multivariate empirical mode decomposition coupled with ant colony optimization and random forest model to forecast monthly solar radiation
Prasad R, Ali M, Kwan P, Khan H
Applied Energy, 236, 778, 2019 |
| 4 |
Advance short-term wind energy quality assessment based on instantaneous standard deviation and variogram of wind speed by a hybrid method
Liu GB, Zhou JZ, Jia BJ, He FF, Yang YQ, Sun N
Applied Energy, 238, 643, 2019 |
| 5 |
Crude oil price prediction model with long short term memory deep learning based on prior knowledge data transfer
Cen ZP, Wang J
Energy, 169, 160, 2019 |
| 6 |
A new hybrid model to predict the electrical load in five states of Australia
Wu JR, Cui ZS, Chen YY, Kong DM, Wang YG
Energy, 166, 598, 2019 |
| 7 |
Short term load forecasting based on feature extraction and improved general regression neural network model
Liang Y, Niu DX, Hong WC
Energy, 166, 653, 2019 |
| 8 |
Modeling heat transfer properties in an ORC direct contact evaporator using RBF neural network combined with EMD
Huang JW, Xiao QT, Liu JJ, Wang H
Energy, 173, 306, 2019 |
| 9 |
An enhanced PCA-based chiller sensor fault detection method using ensemble empirical mode decomposition based denoising
Li GN, Hu YP
Energy and Buildings, 183, 311, 2019 |
| 10 |
Modal decomposition based ensemble learning for ground source heat pump systems load forecasting
Xu CL, Chen HX, Xun WD, Zhou ZX, Liu T, Zeng YK, Ahmad T
Energy and Buildings, 194, 62, 2019 |
