Guest Editorial: Special Issue of ESREL2020 PSAM15-Reference-Cited by-同舟云学术

Guest Editorial: Special Issue of ESREL2020 PSAM15

Published:2023-02-06 Issue:4 Volume:16 Page:1610
ISSN:1996-1073
Container-title:Energies
language:en
Short-container-title:Energies

Author:

Baraldi Piero¹^ORCID,Razavi-Far Roozbeh²³^ORCID,Zio Enrico¹⁴^ORCID

Affiliation:

1. Energy Department, Politecnico di Milano, Via La Masa 34, 20126 Milano, Italy

2. Department of Electrical and Computer Engineering, University of Windsor, Windsor, ON N9B 3P4, Canada

3. Faculty of Computer Science, University of New Brunswick, Fredericton, NB E3B 5A3, Canada

4. Centre de Recherce sur les Risques et les Crises (CRC), MINES Paris-PSL Université, 06560 Sophia Antipolis, France

Abstract

This Special Issue includes seven extended works that have been selected from papers presented at the ESREL 2020 PSAM 15 Conference, the 30th European Safety and Reliability Conference (ESREL 2020) and the 15th Probabilistic Safety Assessment and Management Conference (PSAM 15), jointly held virtually on 1–5 November 2020 to discuss the second wave of the pandemic breakout [...]

Publisher

MDPI AG

Subject

Energy (miscellaneous),Energy Engineering and Power Technology,Renewable Energy, Sustainability and the Environment,Electrical and Electronic Engineering,Control and Optimization,Engineering (miscellaneous),Building and Construction

Link

https://www.mdpi.com/1996-1073/16/4/1610/pdf

Reference7 articles.

1. Pappalardo, F., Moscatello, A., Ledda, G., Uggenti, A.C., Gerboni, R., Carpignano, A., Di Maio, F., Mereu, R., and Zio, E. (2021). Quantification of Uncertainty in CFD Simulation of Accidental Gas Release for O & G Quantitative Risk Assessment. Energies, 14.

2. Pinciroli, L., Baraldi, P., Ballabio, G., Compare, M., and Zio, E. (2021). Deep Reinforcement Learning Based on Proximal Policy Optimization for the Maintenance of a Wind Farm with Multiple Crews. Energies, 14.

3. Shokry, A., Baraldi, P., Castellano, A., Serio, L., and Zio, E. (2021). Identification of Critical Components in the Complex Technical Infrastructure of the Large Hadron Collider Using Relief Feature Ranking and Support Vector Machines. Energies, 14.

4. Destino, V., Pedroni, N., Bonifetto, R., Di Maio, F., Savoldi, L., and Zio, E. (2021). Metamodeling and On-Line Clustering for Loss-of-Flow Accident Precursors Identification in a Superconducting Magnet Cryogenic Cooling Circuit. Energies, 14.

5. Ramírez-Agudelo, O.H., Köpke, C., Guillouet, Y., Schäfer-Frey, J., Engler, E., Mielniczek, J., and Sill Torres, F. (2021). An Expert-Driven Probabilistic Assessment of the Safety and Security of Offshore Wind Farms. Energies, 14.