| Advances in surrogate based modeling, feasibility analysis, and optimization: A review |
58 |
| Deep convolutional neural network model based chemical process fault diagnosis |
57 |
| Machine learning: Overview of the recent progresses and implications for the process systems engineering field |
41 |
| Optimization under uncertainty in the era of big data and deep learning: When machine learning meets mathematical programming |
26 |
| Challenges in process optimization for new feedstocks and energy sources |
24 |
| Optimization and control of a thin film growth process: A hybrid first principles/artificial neural network based multiscale modelling approach |
22 |
| Advances and opportunities in machine learning for process data analytics |
21 |
| Deterministic global process optimization: Accurate (single-species) properties via artificial neural networks |
17 |
| Data-driven decision making under uncertainty integrating robust optimization with principal component analysis and kernel smoothing methods |
17 |
| Global optimization of grey-box computational systems using surrogate functions and application to highly constrained oil-field operations |
17 |
| Data-driven identification of interpretable reduced-order models using sparse regression |
16 |
| Optimal design of energy systems using constrained grey-box multi-objective optimization |
16 |
| A novel process monitoring approach based on variational recurrent autoencoder |
15 |
| OptCAMD: An optimization-based framework and tool for molecular and mixture product design |
14 |
| Reinforcement Learning - Overview of recent progress and implications for process control |
14 |
| A perspective on Quality-by-Control (QbC) in pharmaceutical continuous manufacturing |
14 |
| Integrated process design, scheduling, and control using multiparametric programming |
14 |
| A simulation-based optimization framework for integrating scheduling and model predictive control, and its application to air separation units |
14 |
| Optimal demand response scheduling of an industrial air separation unit using data-driven dynamic models |
14 |
| Challenges and opportunities in biopharmaceutical manufacturing control |
14 |
| Performance enhancement of pressure-swing distillation process by the combined use of vapor recompression and thermal integration |
13 |
| Modelling and solving the integrated inventory-location-routing problem in a multi-period and multi-perishable product supply chain with uncertainty: Lagrangian relaxation algorithm |
13 |
| Demand response-oriented dynamic modeling and operational optimization of membrane-based chlor-alkali plants |
13 |
| Optimal planning of municipal solid waste management systems in an integrated supply chain network |
13 |
| A multi-objective mathematical model to redesign of global sustainable bioenergy supply network |
12 |
| Formation lithology classification using scalable gradient boosted decision trees |
12 |
| Expanding scope and computational challenges in process scheduling |
12 |
| Economic MPC and real-time decision making with application to large-scale HVAC energy systems |
12 |
| Optimisation of the energy, water, and food nexus for food security scenarios |
12 |
| Distributionally robust optimization for planning and scheduling under uncertainty |
12 |
| Fault detection and diagnosis using empirical mode decomposition based principal component analysis |
12 |
| Data-driven stochastic robust optimization: General computational framework and algorithm leveraging machine learning for optimization under uncertainty in the big data era |
12 |
| Closed-loop integration of planning, scheduling and multi-parametric nonlinear control |
11 |
| Modeling and fault diagnosis design for HVAC systems using recurrent neural networks |
11 |
| Big data approach to batch process monitoring: Simultaneous fault detection and diagnosis using nonlinear support vector machine-based feature selection |
11 |
| Application of neural networks for optimal-setpoint design and MPC control in biological wastewater treatment |
11 |
| An improvement scheme for pressure-swing distillation with and without heat integration through an intermediate connection to achieve energy savings |
11 |
| Application of reduced-order models based on PCA & Kriging for the development of digital twins of reacting flow applications |
11 |
| Dynamic latent variable analytics for process operations and control |
11 |
| Modeling of hydraulic fracturing and designing of online pumping schedules to achieve uniform proppant concentration in conventional oil reservoirs |
11 |
| Mixed kernel canonical variate dissimilarity analysis for incipient fault monitoring in nonlinear dynamic processes |
11 |
| An ontology framework towards decentralized information management for eco-industrial parks |
11 |
| Computer aided chemical product design - ProCAPD and tailor-made blended products |
10 |
| Fault detection based on augmented kernel Mahalanobis distance for nonlinear dynamic processes |
10 |
| Model order reduction of nonlinear parabolic PDE systems with moving boundaries using sparse proper orthogonal decomposition: Application to hydraulic fracturing |
10 |
| Decomposing complex plants for distributed control: Perspectives from network theory |
10 |
| Data-driven methods for batch data analysis - A critical overview and mapping on the complexity scale |
10 |
| Dynamic modeling and optimization of a coal-fired utility boiler to forecast and minimize NOx and CO emissions simultaneously |
10 |
| Model-based bidding strategies on the primary balancing market for energy-intense processes |
10 |
| Chemical product design: Advances in and proposed directions for research and teaching |
10 |
