| 1 |
Nucleation and growth of cholesteric collagen tactoids: A time-series statistical analysis based on integration of direct numerical simulation (DNS) and long short-term memory recurrent neural network (LSTM-RNN)
Khadem SA, Rey AD
Journal of Colloid and Interface Science, 582, 859, 2021 |
| 2 |
Effective wind power prediction using novel deep learning network: Stacked independently recurrent autoencoder
Wang L, Tao R, Hu HL, Zeng YR
Renewable Energy, 164, 642, 2021 |
| 3 |
Data driven NARMAX modeling for PEMFC air compressor
Deng ZH, Chen QH, Zhang LY, Fu ZC
International Journal of Hydrogen Energy, 45(39), 20321, 2020 |
| 4 |
Recurrent neural network based detection of faults caused by particle attrition in chemical looping systems
Pan JH, Pottimurthy Y, Wang DW, Hwang S, Patil S, Fan LS
Powder Technology, 367, 266, 2020 |
| 5 |
A new methodology for kick detection during petroleum drilling using long short-term memory recurrent neural network
Osarogiagbon A, Muojeke S, Venkatesan R, Khan F, GillardCentre P
Process Safety and Environmental Protection, 142, 126, 2020 |
| 6 |
Recurrent neural network based adaptive integral sliding mode power maximization control for wind power systems
Yin XX, Jiang ZS, Pan L
Renewable Energy, 145, 1149, 2020 |
| 7 |
Solar radiation prediction using recurrent neural network and artificial neural network: A case study with comparisons
Pang ZH, Niu FX, O'Neill Z
Renewable Energy, 156, 279, 2020 |
| 8 |
Deep learning framework to forecast electricity demand
Bedi J, Toshniwal D
Applied Energy, 238, 1312, 2019 |
| 9 |
Model predictive control of phthalic anhydride synthesis in a fixed-bed catalytic reactor via machine learning modeling
Wu Z, Tran A, Ren YM, Barnes CS, Chen S, Christofides PD
Chemical Engineering Research & Design, 145, 173, 2019 |
| 10 |
State-of-charge estimation of lithium-ion batteries based on gated recurrent neural network
Yang FF, Li WH, Li C, Miao Q
Energy, 175, 66, 2019 |
