default search action
Computers & 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
Industrial, large-scale model predictive control with structured neural networks. 107291 - Lee D. Rippon
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
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
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
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
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
Scheduling coordination of multiple production and utility systems in a multi-leader multi-follower Stackelberg game. 107321 - Daniela C. M. de Souza, Luís Cabrita
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
Recent developments on sewage sludge pyrolysis and its kinetics: Resources recovery, thermogravimetric platforms, and innovative prospects. 107325 - Andrew Allman
Biomass waste-to-energy supply chain optimization with mobile production modules. 107326 - Philipp Kenkel
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
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
Optimal fragrances formulation using a deep learning neural network architecture: A novel systematic approach. 107344
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
last updated on 2024-12-19 22:14 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by: