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ORCIDComputers & Chemical Engineering, Volume 150
Volume 150, July 2021
- Santiago Morandi, Philippe Nimmegeers, Markus Schwind, Alessandro Di Pretoro
, Flavio Manenti, Filip Logist:
A roadmap for in silico development and evaluation of industrial NMPC applications: A practical case study. 107278 - Pratyush Kumar, James B. Rawlings, Stephen J. Wright:
Industrial, large-scale model predictive control with structured neural networks. 107291 - Lee D. Rippon, Ibrahim Yousef, Behrooz Hosseini, Arbi Bouchoucha, Jean-Francois Beaulieu, Carole Prévost, Michel Ruel, S. L. Shah, R. Bhushan Gopaluni:
Representation learning and predictive classification: Application with an electric arc furnace. 107304 - Kody Kazda, Xiang Li:
Nonconvex multivariate piecewise-linear fitting using the difference-of-convex representation. 107310 - Yongxia Liu, Lixin Tang, Chang Liu, Lijie Su, Jian Wu:
Black box operation optimization of basic oxygen furnace steelmaking process with derivative free optimization algorithm. 107311 - Federico Lozano Santamaría, José A. Luceño, Mariano Martín, Sandro Macchietto:
Optimal operation and cleaning scheduling of air coolers in concentrated solar plants. 107312 - Mahdi Hedayatizadeh, Faramarz Sarhaddi:
Thermal simulation of a modified solar desalination system with four transparent apertures with the aim of productivity augmentation. 107314 - Xiaoli Liu, Yang Xu, Jiali Li, Xuanwei Ong, Salwa Ali Ibrahim, Tonio Buonassisi, Xiaonan Wang:
A robust low data solution: Dimension prediction of semiconductor nanorods. 107315 - S. Balasubramanian, Patil Balachandra:
Characterising electricity demand through load curve clustering: A case of Karnataka electricity system in India. 107316 - Byung Jun Park, Yeonsoo Kim, Jong Min Lee:
Design of switching multilinear model predictive control using gap metric. 107317 - Mobina Mobaraki, Hamed Moradi:
Design of robust control strategy in drug and virus scheduling in nonlinear process of chemovirotherapy. 107318 - Guowen Lei, Thiago Lima Silva, Milan Stanko:
Compact formulations for efficient early-phase field development optimization of multi-reservoir fields. 107319 - Takafumi Yamaguchi, Yoshiyuki Yamashita:
Quality prediction for multi-grade batch process using sparse flexible clustered multi-task learning. 107320 - Ludger Leenders, Kirstin Ganz, Björn Bahl, Maike Hennen, Nils Baumgärtner, André Bardow:
Scheduling coordination of multiple production and utility systems in a multi-leader multi-follower Stackelberg game. 107321 - Daniela C. M. de Souza, Luís Cabrita, Cláudia F. Galinha, Tiago J. Rato, Marco S. Reis:
A Spectral AutoML approach for industrial soft sensor development: Validation in an oil refinery plant. 107324 - Salman Raza Naqvi, Rumaisa Tariq, Muhammad Shahbaz, Muhammad Naqvi, Muhammad Aslam, Zakir Khan, Hamish R. Mackey, Gordon McKay, Tareq Al-Ansari:
Recent developments on sewage sludge pyrolysis and its kinetics: Resources recovery, thermogravimetric platforms, and innovative prospects. 107325 - Andrew Allman, Che Lee, Mariano Martín, Qi Zhang:
Biomass waste-to-energy supply chain optimization with mobile production modules. 107326 - Philipp Kenkel, Timo Wassermann, Celina Rose, Edwin Zondervan:
A generic superstructure modeling and optimization framework on the example of bi-criteria Power-to-Methanol process design. 107327 - Somchart Chantasiriwan:
Optimum installation of economizer, air heater, and flue gas dryer in biomass boiler. 107328 - Chuang Chen, Ningyun Lu, Le Wang, Yin Xing:
Intelligent selection and optimization method of feature variables in fluid catalytic cracking gasoline refining process. 107336 - Gonzalo E. Alvarez:
Solving the Unit Commitment and Economic Dispatch Problems by Applying a Novel Weighted Decomposition Method. 107337 - Mariana Maribel Serván, Pio Antonio Aguirre, Marian Gabriela Marcovecchio:
Simultaneous optimal short term SCUC solution and power system redesign with real gap decomposition technique. 107338 - Vinícius V. Santana, Márcio A. F. Martins, José M. Loureiro, Ana M. Ribeiro, Alírio E. Rodrigues, Idelfonso B. R. Nogueira:
Optimal fragrances formulation using a deep learning neural network architecture: A novel systematic approach. 107344
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