화학공학소재연구정보센터
검색결과 : 1,365건
No. Article
1 Reduced dynamic modeling approach for rectification columns based on compartmentalization and artificial neural networks
Schafer P, Caspari A, Kleinhans K, Mhamdi A, Mitsos A
AIChE Journal, 65(5), 2019
2 Machine learning-based predictive control of nonlinear processes. Part I: Theory
Wu Z, Anh R, Rincon D, Christofides PD
AIChE Journal, 65(11), 2019
3 Machine-learning-based predictive control of nonlinear processes. Part II: Computational implementation
Wu Z, Tran A, Rincon D, Christofides PD
AIChE Journal, 65(11), 2019
4 A neural network approach to the combined multi-objective optimization of the thermodynamic cycle and the radial inflow turbine for Organic Rankine cycle applications
Palagi L, Sciubba E, Tocci L
Applied Energy, 237, 210, 2019
5 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
6 Assessment of deep recurrent neural network-based strategies for short-term building energy predictions
Fan C, Wang JY, Gang WJ, Li SH
Applied Energy, 236, 700, 2019
7 State-of-life prognosis and diagnosis of lithium-ion batteries by data-driven particle filters
Cadini F, Sbarufatti C, Cancelliere F, Giglio M
Applied Energy, 235, 661, 2019
8 Drivers of domestic electricity users' price responsiveness: A novel machine learning approach
Guo PY, Lam JCK, Li VOK
Applied Energy, 235, 900, 2019
9 A novel deep learning method for the classification of power quality disturbances using deep convolutional neural network
Wang SX, Chen HW
Applied Energy, 235, 1126, 2019
10 A reinforcement learning framework for optimal operation and maintenance of power grids
Rocchetta R, Bellani L, Compare M, Zio E, Patelli E
Applied Energy, 241, 291, 2019