Roberto Rocchetta

发表

A scenario optimization approach to reliability-based design

Luis G. Crespo, Sean P. Kenny, Roberto Rocchetta, 2020, Reliab. Eng. Syst. Saf..

An efficient framework for reliability assessment of power networks installing renewable generators and subject to parametric P-box uncertainty

Edoardo Patelli, Roberto Rocchetta, 2017 .

A simulation-based probabilistic risk assessment of electric vehicles control strategies accounting for renewable energy sources

Edoardo Patelli, Roberto Rocchetta, E. Patelli, 2015 .

Imprecise probabilistic framework for power grids risk assessment and sensitivity analysis

Edoardo Patelli, Roberto Rocchetta, E. Patelli, 2016 .

On Bayesian approaches for real-time crack detection

Edoardo Patelli, Roberto Rocchetta, Matteo Broggi, 2015 .

Scenario-based Generalization bound for Anomaly Detection Support Vector Machine Ensembles

Milan Petkovic, Qi Gao, Roberto Rocchetta, 2020 .

Assessment of power grid vulnerabilities accounting for stochastic loads and model imprecision

Edoardo Patelli, Roberto Rocchetta, E. Patelli, 2018, International Journal of Electrical Power & Energy Systems.

OpenCossan 2.0: an efficient computational toolbox for risk, reliability and resilience analysis

Jonathan Sadeghi, Marco de Angelis, Edoardo Patelli, 2018 .

Financially optimal solar power sizing and positioning in a power grid

Edoardo Patelli, Murat Fahrioglu, Roberto Rocchetta, 2018, 2018 IEEE International Energy Conference (ENERGYCON).

Bayesian Calibration and Probability Bounds Analysis Solution to the Nasa 2020 UQ Challenge on Optimization Under Uncertainty

Marco de Angelis, Roberto Rocchetta, Dominic Calleja, 2020 .

A post-contingency power flow emulator for generalized probabilistic risks assessment of power grids

Edoardo Patelli, Roberto Rocchetta, E. Patelli, 2020, Reliab. Eng. Syst. Saf..

Stochastic analysis and reliability-cost optimization of distributed generators and air source heat pumps

Edoardo Patelli, Roberto Rocchetta, E. Patelli, 2017, 2017 2nd International Conference on System Reliability and Safety (ICSRS).

A reinforcement learning framework for optimal operation and maintenance of power grids

Enrico Zio, Edoardo Patelli, M. Compare, 2019, Applied Energy.

On-line Bayesian model updating for structural health monitoring

Edoardo Patelli, Matteo Broggi, Roberto Rocchetta, 2018 .

POWER GRID ROBUSTENSS TO SEVERE FAILURES: TOPOLGICAL AND FLOW BASED METRICS COMPARISION

Edoardo Patelli, Roberto Rocchetta, 2016 .

Effect of load-generation variability on power grid cascading failures

Edoardo Patelli, Roberto Rocchetta, G. Sansavini, 2018 .

Do we have enough data? Robust reliability via uncertainty quantification

Edoardo Patelli, Matteo Broggi, Roberto Rocchetta, 2018 .

Solution of the Benchmark Control Problem by Scenario Optimization

Luis G. Crespo, Sean P. Kenny, Roberto Rocchetta, 2019, Volume 2: Modeling and Control of Engine and Aftertreatment Systems; Modeling and Control of IC Engines and Aftertreatment Systems; Modeling and Validation; Motion Planning and Tracking Control; Multi-Agent and Networked Systems; Renewable and Smart Energ.

A power-flow emulator approach for resilience assessment of repairable power grids subject to weather-induced failures and data deficiency

Enrico Zio, Edoardo Patelli, Roberto Rocchetta, 2018 .

Constructing Consonant Predictive Beliefs from Data with Scenario Theory

Scott Ferson, Marco De Angelis, Roberto Rocchetta, 2021, ISIPTA.

Soft-constrained interval predictor models and epistemic reliability intervals: A new tool for uncertainty quantification with limited experimental data

Milan Petkovic, Roberto Rocchetta, Qi Gao, 2021 .

A scenario optimization approach to reliability-based and risk-based design: Soft-constrained modulation of failure probability bounds

Luis G. Crespo, Roberto Rocchetta, Roberto Rocchetta, 2021, Reliab. Eng. Syst. Saf..