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Roberto Rocchetta
Roberto Rocchetta
SUPSI, DACD, Energy System Group
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Title
Cited by
Cited by
Year
A reinforcement learning framework for optimal operation and maintenance of power grids
R Rocchetta, L Bellani, M Compare, E Zio, E Patelli
Applied energy 241, 291-301, 2019
1962019
Risk assessment and risk-cost optimization of distributed power generation systems considering extreme weather conditions
R Rocchetta, Y Li, E Zio
Reliability Engineering & System Safety 136, 47-61, 2015
1122015
On-line Bayesian model updating for structural health monitoring
R Rocchetta, M Broggi, Q Huchet, E Patelli
Mechanical Systems and Signal Processing 103, 174-195, 2018
1102018
A power-flow emulator approach for resilience assessment of repairable power grids subject to weather-induced failures and data deficiency
R Rocchetta, E Zio, E Patelli
Applied energy 210, 339-350, 2018
852018
Assessment of power grid vulnerabilities accounting for stochastic loads and model imprecision
R Rocchetta, E Patelli
International Journal of Electrical Power & Energy Systems 98, 219-232, 2018
552018
Do we have enough data? Robust reliability via uncertainty quantification
R Rocchetta, M Broggi, E Patelli
Applied Mathematical Modelling 54, 710-721, 2018
412018
Opencossan 2.0: an efficient computational toolbox for risk, reliability and resilience analysis
E Patelli, S Tolo, H George-Williams, J Sadeghi, R Rocchetta, ...
392018
From inference to design: A comprehensive framework for uncertainty quantification in engineering with limited information
A Gray, A Wimbush, M de Angelis, PO Hristov, D Calleja, E Miralles-Dolz, ...
Mechanical Systems and Signal Processing 165, 108210, 2022
362022
A scenario optimization approach to reliability-based and risk-based design: Soft-constrained modulation of failure probability bounds
R Rocchetta, LG Crespo
Reliability Engineering & System Safety 216, 107900, 2021
262021
Enhancing the resilience of critical infrastructures: Statistical analysis of power grid spectral clustering and post-contingency vulnerability metrics
R Rocchetta
Renewable and Sustainable Energy Reviews 159, 112185, 2022
252022
A scenario optimization approach to reliability-based design
R Rocchetta, LG Crespo, SP Kenny
Reliability Engineering & System Safety 196, 106755, 2020
202020
A post-contingency power flow emulator for generalized probabilistic risks assessment of power grids
R Rocchetta, E Patelli
Reliability Engineering & System Safety 197, 106817, 2020
192020
A robust model selection framework for fault detection and system health monitoring with limited failure examples: Heterogeneous data fusion and formal sensitivity bounds
R Rocchetta, Q Gao, D Mavroeidis, M Petkovic
Engineering Applications of Artificial Intelligence 114 (105140), 2022
132022
Soft-constrained interval predictor models and epistemic reliability intervals: A new tool for uncertainty quantification with limited experimental data
R Rocchetta, Q Gao, M Petkovic
Mechanical Systems and Signal Processing 161, 107973, 2021
132021
Stochastic analysis and reliability-cost optimization of distributed generators and air source heat pumps
R Rocchetta, E Patelli
2017 2nd International Conference on System Reliability and Safety (ICSRS …, 2017
122017
Solution of the benchmark control problem by scenario optimization
R Rocchetta, LG Crespo, SP Kenny
Dynamic Systems and Control Conference 59155, V002T24A001, 2019
82019
Imprecise probabilistic framework for power grids risk assessment and sensitivity analysis
R Rocchetta, E Patelli
Risk, reliability and safety: innovating theory and practice, 2789-2796, 2016
82016
Enriching stochastic model updating metrics: An efficient Bayesian approach using Bray-Curtis distance and an adaptive binning algorithm
W Zhao, L Yang, C Dang, R Rocchetta, M Valdebenito, D Moens
Mechanical Systems and Signal Processing 171, 108889, 2022
72022
Financially optimal solar power sizing and positioning in a power grid
O Cangul, R Rocchetta, E Patelli, M Fahrioglu
2018 IEEE International Energy Conference (ENERGYCON), 1-6, 2018
62018
Scenario-based generalization bound for anomaly detection support vector machine ensembles
R Rocchetta, M Petkovic, Q Gao
Proceedings of the 30th European Safety and Reliability Conference and the …, 2020
52020
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