Stefano Spinelli

CoRR, 2023

Demand-side management via optimal production scheduling in power-intensive industries: The case of metal casting process.

[BibT_eX]

[DOI]

Danial Ramin

CoRR, 2023

Neural Network Modeling of the Refining Motor Load for Medium-Density Fibreboard Production.

[BibT_eX]

[DOI]

Proceedings of the 15th International Conference on Computer and Automation Engineering, 2023

A Compressed Air Network Energy-Efficient Hierarchical Unit Commitment and Control.

[BibT_eX]

[DOI]

Proceedings of the 15th International Conference on Computer and Automation Engineering, 2023

2022

A Hierarchical Architecture for Optimal Unit Commitment and Control of an Ensemble of Steam Generators.

[BibT_eX]

[DOI]

IEEE Trans. Control. Syst. Technol., 2022

2021

Optimization and control of smart thermal-energy grids.

[BibT_eX]

[DOI]

PhD thesis, 2021

2020

Probabilistic electric load forecasting through Bayesian Mixture Density Networks.

[BibT_eX]

[DOI]

Andrea Vitali

CoRR, 2020

Estimation of Switched Markov Polynomial NARX models.

[BibT_eX]

[DOI]

CoRR, 2020

Identification of Probability weighted ARX models with arbitrary domains.

[BibT_eX]

[DOI]

CoRR, 2020

A Hierarchical Architecture for the Coordination of an Ensemble of Steam Generators.

[BibT_eX]

[DOI]

CoRR, 2020

Learning behavioral models by recurrent neural networks with discrete latent representations with application to a flexible industrial conveyor.

[BibT_eX]

[DOI]

Andrea Vitali

Comput. Ind., 2020

A Unified PSO-based method for multi-hoist scheduling in advanced Galvanic plants.

[BibT_eX]

[DOI]

Proceedings of the 7th International Conference on Control, 2020

Extracting finite state representations from recurrent models of Industrial Cyber Physical Systems.

[BibT_eX]

[DOI]

Andrea Vitali

Proceedings of the 7th International Conference on Control, 2020

Probabilistic day-ahead energy price forecast by a Mixture Density Recurrent Neural Network.

[BibT_eX]

[DOI]

Proceedings of the 7th International Conference on Control, 2020

Hybrid system identification using a mixture of NARX experts with LASSO-based feature selection.

[BibT_eX]

[DOI]

Proceedings of the 7th International Conference on Control, 2020

2019

Nonlinear system identification using a recurrent network in a Bayesian framework.

[BibT_eX]

[DOI]

Pietro Portolani

Proceedings of the 17th IEEE International Conference on Industrial Informatics, 2019

Integrated automation system with PSO based scheduling for PCB remanufacturing plants.

[BibT_eX]

[DOI]

Proceedings of the 17th IEEE International Conference on Industrial Informatics, 2019

Fostering the creation of a Digital Ecosystem by a distributed IEC-61499 based automation platform.

[BibT_eX]

[DOI]

Andrea Barni

Franco Antonio Cavadini

Proceedings of the 17th IEEE International Conference on Industrial Informatics, 2019

An optimal control of start-up for nonlinear fire-tube boilers with thermal stress constraints.

[BibT_eX]

[DOI]

Proceedings of the 17th European Control Conference, 2019

2018

A distributed control architecture for a reconfigurable manufacturing plant.

[BibT_eX]

[DOI]

Andrea Cataldo

Giacomo Pallucca

Proceedings of the IEEE Industrial Cyber-Physical Systems, 2018

A hierarchical optimization-based scheme for combined Fire-tube Boiler/CHP generation units.

[BibT_eX]

[DOI]

Proceedings of the 16th European Control Conference, 2018

2014

System-level performance of an automation solution based on industry standards.

[BibT_eX]

[DOI]

Francesca Arcelli Fontana

Marco Cereia

Ivan Cibrario Bertolotti

Proceedings of the 2014 IEEE Emerging Technology and Factory Automation, 2014

2012

Investigating the impact of code smells debt on quality code evaluation.

[BibT_eX]

[DOI]

Vincenzo Ferme

Francesca Arcelli Fontana

Proceedings of the Third International Workshop on Managing Technical Debt, 2012

2011

Impact of refactoring on quality code evaluation.

[BibT_eX]

[DOI]