| 1 |
Oil Pipeline Network Evaluation Based on Multi-Channel Convolution and H-Markov Model with Co-Evolution Mechanism
Li QQ, Chen M
Chemistry and Technology of Fuels and Oils, 56(4), 665, 2020 |
| 2 |
Constrained Subspace Method for the Identification of Structured State-Space Models (COSMOS)
Yu CP, Ljung L, Wills A, Verhaegen M
IEEE Transactions on Automatic Control, 65(10), 4201, 2020 |
| 3 |
Small-batch-size convolutional neural network based fault diagnosis system for nuclear energy production safety with big-data environment
Yao YT, Wang J, Long PC, Xie M, Wang JY
International Journal of Energy Research, 44(7), 5841, 2020 |
| 4 |
Deep learning based automatic defect identification of photovoltaic module using electroluminescence images
Tang WQ, Yang Q, Xiong KX, Yan WJ
Solar Energy, 201, 453, 2020 |
| 5 |
Probabilistic duck curve in high PV penetration power system: Concept, modeling, and empirical analysis in China
Hou QC, Zhang N, Du ES, Miao M, Peng F, Kang CQ
Applied Energy, 242, 205, 2019 |
| 6 |
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 |
| 7 |
Multi-objective generalized H-2 control
Balandin DV, Kogan MM
Automatica, 99, 317, 2019 |
| 8 |
Depth Image Super Resolution for 3D Reconstruction of Oil Reflnery Buildings
Li SH, Zhang B, Yang XF, He YX, Chen M
Chemistry and Technology of Fuels and Oils, 55(4), 491, 2019 |
| 9 |
Kinetics of radical dimerization. Simple evaluation of rate constant from convolution voltammetry and faradaic phase angle data
Pospisil L, Hromadova M, Sokolova R, Lanza C
Electrochimica Acta, 300, 284, 2019 |
| 10 |
Recurrent inception convolution neural network for multi short-term load forecasting
Kim J, Moon J, Hwang E, Kang P
Energy and Buildings, 194, 328, 2019 |
