| 1 |
A hybrid short-term load forecasting model based on variational mode decomposition and long short-term memory networks considering relevant factors with Bayesian optimization algorithm
He FF, Zhou JZ, Feng ZK, Liu GB, Yang YQ
Applied Energy, 237, 103, 2019 |
| 2 |
Hybrid forecasting model based on long short term memory network and deep learning neural network for wind signal
Qin Y, Li K, Liang ZH, Lee B, Zhang FY, Gu YC, Zhang L, Wu FZ, Rodriguez D
Applied Energy, 236, 262, 2019 |
| 3 |
Short-term forecasting and uncertainty analysis of wind turbine power based on long short-term memory network and Gaussian mixture model
Zhang JH, Yan J, Infield D, Liu YQ, Lien FS
Applied Energy, 241, 229, 2019 |
| 4 |
Mid-to-long term wind and photovoltaic power generation prediction based on copula function and long short term memory network
Han S, Qiao YH, Yan J, Liu YQ, Li L, Wang Z
Applied Energy, 239, 181, 2019 |
| 5 |
Wind speed prediction method using Shared Weight Long Short-Term Memory Network and Gaussian Process Regression
Zhang ZD, Ye L, Qin H, Liu YQ, Wang C, Yu X, Yin XL, Li J
Applied Energy, 247, 270, 2019 |
| 6 |
Predicting plug loads with occupant count data through a deep learning approach
Wang Z, Hong TZ, Piette MA
Energy, 181, 29, 2019 |
| 7 |
Long Short-Term Memory Network based on Neighborhood Gates for processing complex causality in wind speed prediction
Zhang ZD, Qin H, Liu YQ, Wang YQ, Yao LQ, Li QQ, Li J, Pei SQ
Energy Conversion and Management, 192, 37, 2019 |
| 8 |
Wind speed prediction method based on Empirical Wavelet Transform and New Cell Update Long Short-Term Memory network
Pei SQ, Qin H, Zhang ZD, Yao LQ, Wang YQ, Wang C, Liu YQ, Jiang ZQ, Zhou JZ, Yi TL
Energy Conversion and Management, 196, 779, 2019 |
| 9 |
Multi-step ahead wind speed prediction based on optimal feature extraction, long short term memory neural network and error correction strategy
Wang JJ, Li YN
Applied Energy, 230, 429, 2018 |
| 10 |
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 |
