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Energy system design under uncertainty

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Energy system design under uncertainty

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An integrated approach to design site specific distributed electrical hubs combining optimization, multi-criterion assessment and decision making

Dynamic Optimization of Constrained Semi-Batch Processes Using Pontryagin’s Minimum Principle – An Effective Quasi-Newton Approach

Numerical optimization of the ramp-down phase with the RAPTOR code

Exact Convex Modeling of the Optimal Power Flow for the Operation and Planning of Active Distribution Networks with Energy Storage Systems

Distributed Modifier-Adaptation Schemes for the Real-Time Optimization of Interconnected Systems in the Presence of Structural Plant-Model Mismatch

Global Optimization for Image Restoration in Optical/IR Interferometry

Dynamic Optimization of Constrained Semi-Batch Processes Using Pontryagin’s Minimum Principle – An Effective Quasi-Newton Approach

Optimization of a Centrifugal Compressor Impeller for Robustness to Manufacturing Uncertainties

Scampi: a robust approximate message-passing framework for compressive imaging

Approximate BDD Optimization with Prioritized epsilon-Preferred Evolutionary Algorithm

Optimization of a Centrifugal Compressor Impeller for Robustness to Manufacturing Uncertainties

Global Optimization for Image Restoration in Optical/IR Interferometry

An integrated approach to design site specific distributed electrical hubs combining optimization, multi-criterion assessment and decision making

Exact Convex Modeling of the Optimal Power Flow for the Operation and Planning of Active Distribution Networks with Energy Storage Systems

Dynamic Optimization of Constrained Semi-Batch Processes Using Pontryagin’s Minimum Principle – An Effective Quasi-Newton Approach

Scampi: a robust approximate message-passing framework for compressive imaging

Numerical optimization of the ramp-down phase with the RAPTOR code

Approximate BDD Optimization with Prioritized epsilon-Preferred Evolutionary Algorithm

Distributed Modifier-Adaptation Schemes for the Real-Time Optimization of Interconnected Systems in the Presence of Structural Plant-Model Mismatch

Dynamic Optimization of Constrained Semi-Batch Processes Using Pontryagin’s Minimum Principle – An Effective Quasi-Newton Approach