| 1 |
Short-term forecasting and uncertainty analysis of wind power based on long short-term memory, cloud model and non-parametric kernel density estimation
Gu B, Zhang TR, Meng H, Zhang JH
Renewable Energy, 164, 687, 2021 |
| 2 |
A batch-wise LSTM-encoder decoder network for batch process monitoring
Ren JY, Ni D
Chemical Engineering Research & Design, 164, 102, 2020 |
| 3 |
A One-Dimensional Turbulence-Based Closure Model for Combustion LES
Miles JS, Echekki T
Combustion Science and Technology, 192(1), 78, 2020 |
| 4 |
A novel environmental contour method for predicting long-term extreme wave conditions
Wang YG
Renewable Energy, 162, 926, 2020 |
| 5 |
Predictive Control of Discrete Time Stochastic Nonlinear State Space Dynamical Systems: A Particle Nonparametric Approach
Vila JP, Gauchi JP
Applied Mathematics and Optimization, 80(1), 165, 2019 |
| 6 |
A framework for data-based turbulent combustion closure: A priori validation
Ranade R, Echekki T
Combustion and Flame, 206, 490, 2019 |
| 7 |
Mixed kernel canonical variate dissimilarity analysis for incipient fault monitoring in nonlinear dynamic processes
Pilario KES, Cao Y, Shafiee M
Computers & Chemical Engineering, 123, 143, 2019 |
| 8 |
A residual load modeling approach for household short-term load forecasting application
Amara F, Agbossou K, Dube Y, Kelouwani S, Cardenas A, Hosseini SS
Energy and Buildings, 187, 132, 2019 |
| 9 |
A novel probabilistic wind speed prediction approach using real time refined variational model decomposition and conditional kernel density estimation
Jiang Y, Huang GQ, Yang QS, Yan ZT, Zhang CF
Energy Conversion and Management, 185, 758, 2019 |
| 10 |
Estimating wind speed probability distribution based on measured data at Burla in Odisha, India
Samal RK, Tripathy M
Energy Sources Part A-recovery Utilization and Environmental Effects, 41(8), 918, 2019 |
