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Reliability analysis, Machine learning, Risk and vulnerability, Optimization, Power grid, Prognostics and health menagement
Italy, Switzerland, United States, United Kingdom

Biography

Roberto Rocchetta is a researcher at SUSPSI, Mendriso (CH) working in the department for intelligent energy systems. He holds a Master of Science in Energy Engineering from the University of Bologna (IT), a Master of Research in Decision-Making Under Risk and Uncertainty, and a PhD in Resilience Engineering and Data Science from the University of Liverpool (UK). His research currently focuses on developing predictive maintenance solutions, novel stochastic optimization methods, digital twins modelling and machine learning models with guaranteed bounds on their generalization error bounds. Prior to joining TU/e, Roberto worked in the USA as a Research Scholar (postdoc) involved in a collaborative project with the National Institute of Aerospace (NIA) and NASA Langley. During his PhD and is first postdoc, Roberto's research focused on network resilience and the modelling of complex systems and critical infrastructures. He also contributed to the OpenCossan software project https://cossan.co.uk. Please refer to the listed publications for more details.

Activities

Employment (5)

Università della Svizzera italiana: Mendrisio, Ticino, CH

2022-10-01 to present | Researcher (Energy Systems Sector)
Employment
Source: Self-asserted source
Roberto Rocchetta

Eindhoven University of Technology: N/A, NL

2022-09-30
Employment
Source: check_circle
Pure TUe

Technische Universiteit Eindhoven Faculteit Wiskunde en Informatica: Eindhoven, Noord-Brabant, NL

2019-10-01 to 2022-09-30 | postdoc (mathematics and computer science, industrial statistics )
Employment
Source: Self-asserted source
Roberto Rocchetta

National Institute of Aerospace: Hampton, Virginia, US

2019-01-01 to 2019-10-01 | Research scholar (NASA collaboration)
Employment
Source: Self-asserted source
Roberto Rocchetta

University of Liverpool: Liverpool, GB

2016-01-01 to 2019-01-01 | Doctoral candidate (Engineering)
Employment
Source: Self-asserted source
Roberto Rocchetta

Education and qualifications (3)

University of Liverpool: Liverpool, Liverpool, GB

2014-10 to 2015-10 | Master of Research in Decision Making Under Risk and Uncertainty (institute for risk and uncertainty)
Education
Source: Self-asserted source
Roberto Rocchetta

Università degli Studi di Bologna: Bologna, Emilia-Romagna, IT

2012 to 2014 | Master in Ingegneria Energetica indirizzo Sistemista (Enrgy Engineering)
Education
Source: Self-asserted source
Roberto Rocchetta

Università degli Studi di Bologna: Bologna, Emilia-Romagna, IT

2009 to 2011 | bachelor engineering (energy engineering)
Education
Source: Self-asserted source
Roberto Rocchetta

Works (33)

Optimization of mobility incentives in electric vehicle car sharing systems: A reinforcement learning framework

Sustainable Cities and Society
2025-01 | Journal article
Contributors: Roberto Rocchetta; Lorenzo Nespoli; Vasco Medici; Aviva Shemesh; Yael Parag; Jalomi Maayan Tardif
Source: check_circle
Crossref

A Survey on Scenario Theory, Complexity, and Compression-Based Learning and Generalization

IEEE Transactions on Neural Networks and Learning Systems
2024 | Journal article
Contributors: Roberto Rocchetta; Alexander Mey; Frans A. Oliehoek
Source: check_circle
Crossref

A survey on LED Prognostics and Health Management and uncertainty reduction

Microelectronics Reliability
2024-06 | Journal article
SOURCE-WORK-ID:

f756180f-1e1e-43e3-b6ee-271f7ce5b01f

EID:

2-s2.0-85190825864

Contributors: Roberto Rocchetta; Elisa Perrone; Alexander Herzog; Pierre Dersin; Alessandro Di Bucchianico
Source: check_circle
Pure TUe
grade
Preferred source (of 2)‎

Uncertainty analysis and interval prediction of LEDs lifetimes

Reliability Engineering and System Safety
2024-02 | Journal article
SOURCE-WORK-ID:

5b98aac8-5b81-4310-b6c5-bd09b24705c4

EID:

2-s2.0-85174821649

Contributors: Roberto Rocchetta; Zhuozhao Zhan; Willem Dirk van Driel; Alessandro Di Bucchianico
Source: check_circle
Pure TUe
grade
Preferred source (of 2)‎

Optimal Allocation and Sizing of Decentralized Solar Photovoltaic Generators Using Unit Financial Impact Indicator

Sustainability
2023-07-29 | Journal article
Contributors: Ozcel Cangul; Roberto Rocchetta; Murat Fahrioglu; Edoardo Patelli
Source: check_circle
Crossref
grade
Preferred source (of 2)‎

A robust model selection framework for fault detection and system health monitoring with limited failure examples: Heterogeneous data fusion and formal sensitivity bounds

Engineering Applications of Artificial Intelligence
2022-09 | Journal article | Author
Part of ISSN: 0952-1976
Contributors: Roberto Rocchetta; Qi Gao; Dimitrios Mavroeidis; Milan Petkovic
Source: Self-asserted source
Roberto Rocchetta
grade
Preferred source (of 2)‎

Enriching stochastic model updating metrics: An efficient Bayesian approach using Bray-Curtis distance and an adaptive binning algorithm

Mechanical Systems and Signal Processing
2022-05-15 | Journal article | Author
SOURCE-WORK-ID:

bee04c5a-4122-4207-8bb3-5d5861ca9aa4

EID:

2-s2.0-85123943094

Contributors: Wenhua Zhao; Lechang Yang; Chao Dang; Roberto Rocchetta; Marcos Valdebenito; David Moens
Source: check_circle
Pure TUe

Enhancing the resilience of critical infrastructures: Statistical analysis of power grid spectral clustering and post-contingency vulnerability metrics

Renewable and Sustainable Energy Reviews
2022-05-01 | Journal article
SOURCE-WORK-ID:

182098b7-8364-4ed2-b062-ec2159336582

EID:

2-s2.0-85124613677

Contributors: Roberto Rocchetta
Source: check_circle
Pure TUe
grade
Preferred source (of 2)‎

From inference to design: A comprehensive framework for uncertainty quantification in engineering with limited information

Mechanical Systems and Signal Processing
2022-02-15 | Journal article
SOURCE-WORK-ID:

12c1fd1e-30a9-4f9b-8683-8ec9018b7e74

EID:

2-s2.0-85114783669

Contributors: Ander Gray; Alexander Wimbush; Marco de Angelis; Peter O. Hristov; Dominic Calleja; Enrique Miralles-Dolz; Roberto Rocchetta
Source: check_circle
Pure TUe

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

Reliability Engineering and System Safety
2021-12 | Journal article
SOURCE-WORK-ID:

0bda25c0-2084-4e40-bd20-1fb4af05949d

EID:

2-s2.0-85110625649

Contributors: Roberto Rocchetta; Luis G. Crespo
Source: check_circle
Pure TUe

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

Mechanical Systems and Signal Processing
2021-12 | Journal article
SOURCE-WORK-ID:

6e3bc78c-f2a1-427d-9ac2-3aa8c72816ca

EID:

2-s2.0-85105112886

Contributors: Roberto Rocchetta; Milan Petkovic; Qi Gao
Source: check_circle
Pure TUe

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

Reliability Engineering and System Safety
2020-05 | Journal article
SOURCE-WORK-ID:

df7da81f-e9c0-43a9-a6b5-7a7f158837a9

WOSUID:

000527842500032

EID:

2-s2.0-85078656144

WOSUID:

000527842500032

Contributors: Roberto Rocchetta; Edoardo Patelli
Source: check_circle
Pure TUe

A scenario optimization approach to reliability-based design

Reliability Engineering and System Safety
2020-04 | Journal article
SOURCE-WORK-ID:

219b5fcb-42a8-42c0-88d0-bd2a12e80b45

WOSUID:

000515213900006

EID:

2-s2.0-85075322257

WOSUID:

000515213900006

Contributors: Roberto Rocchetta; Luis G. Crespo; Sean P. Kenny
Source: check_circle
Pure TUe

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

Applied Energy
2019 | Journal article
EID:

2-s2.0-85062607186

Contributors: Rocchetta, R.; Bellani, L.; Compare, M.; Zio, E.; Patelli, E.
Source: Self-asserted source
Roberto Rocchetta via Scopus - Elsevier
grade
Preferred source (of 2)‎

Solution of the benchmark control problem by scenario optimization

Dynamic Systems and Control Conference
2019-11-26 | Conference paper | Author
SOURCE-WORK-ID:

4560209b-86ec-4379-b07f-cb55eb3dd354

EID:

2-s2.0-85075320436

Part of ISBN: 978-0-7918-5915-5
Contributors: Roberto Rocchetta; Luis G. Crespo; Sean P. Kenny
Source: check_circle
Pure TUe

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

Applied Energy
2018 | Journal article
EID:

2-s2.0-85033493598

Contributors: Rocchetta, R.; Zio, E.; Patelli, E.
Source: Self-asserted source
Roberto Rocchetta via Scopus - Elsevier
grade
Preferred source (of 3)‎

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

International Journal of Electrical Power and Energy Systems
2018 | Journal article
EID:

2-s2.0-85037814209

Contributors: Rocchetta, R.; Patelli, E.
Source: Self-asserted source
Roberto Rocchetta via Scopus - Elsevier
grade
Preferred source (of 2)‎

Do we have enough data? Robust reliability via uncertainty quantification

Applied Mathematical Modelling
2018 | Journal article
EID:

2-s2.0-85037809995

Contributors: Rocchetta, R.; Broggi, M.; Patelli, E.
Source: Self-asserted source
Roberto Rocchetta via Scopus - Elsevier
grade
Preferred source (of 2)‎

Effect of load-generation variability on power grid cascading failures

Safety and Reliability - Safe Societies in a Changing World - Proceedings of the 28th International European Safety and Reliability Conference, ESREL 2018
2018 | Conference paper
EID:

2-s2.0-85058111130

Contributors: Rocchetta, R.; Patelli, E.; Bing, L.; Sansavini, G.
Source: Self-asserted source
Roberto Rocchetta via Scopus - Elsevier
grade
Preferred source (of 2)‎

Financially optimal solar power sizing and positioning in a power grid

2018 IEEE International Energy Conference, ENERGYCON 2018
2018 | Conference paper
EID:

2-s2.0-85050225409

Contributors: Cangul, O.; Rocchetta, R.; Patelli, E.; Fahrioglu, M.
Source: Self-asserted source
Roberto Rocchetta via Scopus - Elsevier
grade
Preferred source (of 2)‎

On-line Bayesian model updating for structural health monitoring

Mechanical Systems and Signal Processing
2018 | Journal article
EID:

2-s2.0-85033589295

Contributors: Rocchetta, R.; Broggi, M.; Huchet, Q.; Patelli, E.
Source: Self-asserted source
Roberto Rocchetta via Scopus - Elsevier
grade
Preferred source (of 3)‎

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

2017 2nd International Conference on System Reliability and Safety, ICSRS 2017
2018 | Conference paper
EID:

2-s2.0-85046673970

Contributors: Rocchetta, R.; Patelli, E.
Source: Self-asserted source
Roberto Rocchetta via Scopus - Elsevier
grade
Preferred source (of 2)‎

Robust computational frameworks for power grid reliability, vulnerability and resilience analysis

2018-11-01 | Dissertation/Thesis | Author
SOURCE-WORK-ID:

ea66419a-fdf2-4385-badc-5d3e8eedddc4

Contributors: Roberto Rocchetta
Source: check_circle
Pure TUe

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

Proceedings of the joint ICVRAM ISUMA UNCERTAINTIES conference
2018-04-08 | Conference paper | Author
SOURCE-WORK-ID:

5f7267de-0ab0-4f2a-bea5-847c2da44fe4

Contributors: Edoardo Patelli; Silvia Tolo; Hindolo George-Williams; Jonathan Sadeghi; Roberto Rocchetta; Marco de Angelis; Matteo Broggi
Source: check_circle
Pure TUe

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

Safety and Reliability - Theory and Applications - Proceedings of the 27th European Safety and Reliability Conference, ESREL 2017
2017 | Conference paper
EID:

2-s2.0-85061391493

Contributors: Rocchetta, R.; Patelli, E.
Source: Self-asserted source
Roberto Rocchetta via Scopus - Elsevier

Imprecise probabilistic framework for power grids risk assessment and sensitivity analysis

Risk, Reliability and Safety: Innovating Theory and Practice - Proceedings of the 26th European Safety and Reliability Conference, ESREL 2016
2017 | Conference paper
EID:

2-s2.0-85016219659

Contributors: Rocchetta, R.; Patelli, E.
Source: Self-asserted source
Roberto Rocchetta via Scopus - Elsevier

Imprecise probabilistic framework for power grids risk assessment and sensitivity analysis

Risk, Reliability and Safety
2017 | Book chapter | Author
SOURCE-WORK-ID:

d7e17eb9-ba8c-46aa-8e05-02af21d16fe8

WOSUID:

000414164700399

Part of ISBN: 978-1-138-02997-2
Contributors: Roberto Rocchetta; E. Patelli
Source: check_circle
Pure TUe

Monte Carlo approach to compute the success probability of sending objects to the Moon

2017-04-30 | Other | Author
SOURCE-WORK-ID:

aaa0e0e6-8bfc-4e19-87a5-062ce376f3bf

Contributors: Jonathan Sadeghi; Roberto Rocchetta; Hindolo George-Williams; Marco de Angelis
Source: check_circle
Pure TUe

Power grid robustness to sere failures: Topological and flow based metrics comparison

ECCOMAS Congress 2016 - Proceedings of the 7th European Congress on Computational Methods in Applied Sciences and Engineering
2016 | Conference paper
EID:

2-s2.0-84995495513

Contributors: Rocchetta, R.; Patelli, E.
Source: Self-asserted source
Roberto Rocchetta via Scopus - Elsevier

On Bayesian approaches for real-time crack detection

Safety and Reliability of Complex Engineered Systems - Proceedings of the 25th European Safety and Reliability Conference, ESREL 2015
2015 | Conference paper
EID:

2-s2.0-84958998833

Contributors: Rocchetta, R.; Broggi, M.; Patelli, E.; Huchet, Q.
Source: Self-asserted source
Roberto Rocchetta via Scopus - Elsevier

Risk assessment and risk-cost optimization of distributed power generation systems considering extreme weather conditions

Reliability Engineering and System Safety
2015 | Journal article
EID:

2-s2.0-84949116401

Contributors: Rocchetta, R.; Li, Y.F.; Zio, E.
Source: Self-asserted source
Roberto Rocchetta via Scopus - Elsevier
grade
Preferred source (of 2)‎

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

In Proceedings of the 13th International Probabilistic Workshop (IPW 2015)
2015-10-26 | Conference paper | Author
SOURCE-WORK-ID:

ce04b919-649a-4764-a0bc-ddb2b466b9ea

Contributors: Roberto Rocchetta; Edoardo Patelli
Source: check_circle
Pure TUe

Efficent epistemic-aleatory uncertainty quantification

2015 NAFEMS World Congress, San Diego, United States, 21/06/15
2015-06-21 | Conference paper | Author
SOURCE-WORK-ID:

db4810d0-5dce-4219-a0f8-eaef731a0218

Contributors: Roberto Rocchetta; Matteo Broggi; Edoardo Patelli
Source: check_circle
Pure TUe

Peer review (10 reviews for 8 publications/grants)

Review activity for Applied energy. (1)
Review activity for ASCE-ASME journal of risk and uncertainty in engineering systems. (1)
Review activity for Energies. (3)
Review activity for Engineering reports : (1)
Review activity for International journal of electrical power & energy systems. (1)
Review activity for Machine learning. (1)
Review activity for Reliability engineering & systems safety. (1)
Review activity for Top. (1)