IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v16y2023i4p1610-d1059145.html
   My bibliography  Save this article

Guest Editorial: Special Issue of ESREL2020 PSAM15

Author

Listed:
  • Piero Baraldi

    (Energy Department, Politecnico di Milano, Via La Masa 34, 20126 Milano, Italy)

  • Roozbeh Razavi-Far

    (Department of Electrical and Computer Engineering, University of Windsor, Windsor, ON N9B 3P4, Canada
    Faculty of Computer Science, University of New Brunswick, Fredericton, NB E3B 5A3, Canada)

  • Enrico Zio

    (Energy Department, Politecnico di Milano, Via La Masa 34, 20126 Milano, Italy
    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 [...]

Suggested Citation

  • Piero Baraldi & Roozbeh Razavi-Far & Enrico Zio, 2023. "Guest Editorial: Special Issue of ESREL2020 PSAM15," Energies, MDPI, vol. 16(4), pages 1-2, February.
  • Handle: RePEc:gam:jeners:v:16:y:2023:i:4:p:1610-:d:1059145
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/16/4/1610/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/16/4/1610/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Zhaojun Hao & Francesco Di Maio & Enrico Zio, 2021. "Multi-State Reliability Assessment Model of Base-Load Cyber-Physical Energy Systems (CPES) during Flexible Operation Considering the Aging of Cyber Components," Energies, MDPI, vol. 14(11), pages 1-18, June.
    2. Luca Pinciroli & Piero Baraldi & Guido Ballabio & Michele Compare & Enrico Zio, 2021. "Deep Reinforcement Learning Based on Proximal Policy Optimization for the Maintenance of a Wind Farm with Multiple Crews," Energies, MDPI, vol. 14(20), pages 1-17, October.
    3. Ahmed Shokry & Piero Baraldi & Andrea Castellano & Luigi Serio & Enrico Zio, 2021. "Identification of Critical Components in the Complex Technical Infrastructure of the Large Hadron Collider Using Relief Feature Ranking and Support Vector Machines," Energies, MDPI, vol. 14(18), pages 1-19, September.
    4. Vincenzo Destino & Nicola Pedroni & Roberto Bonifetto & Francesco Di Maio & Laura Savoldi & Enrico Zio, 2021. "Metamodeling and On-Line Clustering for Loss-of-Flow Accident Precursors Identification in a Superconducting Magnet Cryogenic Cooling Circuit," Energies, MDPI, vol. 14(17), pages 1-37, September.
    5. Oscar Hernán Ramírez-Agudelo & Corinna Köpke & Yann Guillouet & Jan Schäfer-Frey & Evelin Engler & Jennifer Mielniczek & Frank Sill Torres, 2021. "An Expert-Driven Probabilistic Assessment of the Safety and Security of Offshore Wind Farms," Energies, MDPI, vol. 14(17), pages 1-18, September.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Anwar, Ghazanfar Ali & Zhang, Xiaoge, 2024. "Deep reinforcement learning for intelligent risk optimization of buildings under hazard," Reliability Engineering and System Safety, Elsevier, vol. 247(C).
    2. Corinna Köpke & Jennifer Mielniczek & Christoph Roller & Kerstin Lange & Frank Sill Torres & Alexander Stolz, 2023. "Resilience management processes in the offshore wind industry: schematization and application to an export-cable attack," Environment Systems and Decisions, Springer, vol. 43(2), pages 161-177, June.
    3. Paweł Dymora & Mirosław Mazurek & Bartosz Sudek, 2021. "Comparative Analysis of Selected Open-Source Solutions for Traffic Balancing in Server Infrastructures Providing WWW Service," Energies, MDPI, vol. 14(22), pages 1-23, November.
    4. Pinciroli, Luca & Baraldi, Piero & Zio, Enrico, 2023. "Maintenance optimization in industry 4.0," Reliability Engineering and System Safety, Elsevier, vol. 234(C).
    5. Hao, Zhaojun & Di Maio, Francesco & Zio, Enrico, 2023. "A sequential decision problem formulation and deep reinforcement learning solution of the optimization of O&M of cyber-physical energy systems (CPESs) for reliable and safe power production and supply," Reliability Engineering and System Safety, Elsevier, vol. 235(C).
    6. Daniele Candelaresi & Linda Moretti & Alessandra Perna & Giuseppe Spazzafumo, 2021. "Heat Recovery from a PtSNG Plant Coupled with Wind Energy," Energies, MDPI, vol. 14(22), pages 1-21, November.
    7. Wang, Wei & Cova, Gregorio & Zio, Enrico, 2022. "A clustering-based framework for searching vulnerabilities in the operation dynamics of Cyber-Physical Energy Systems," Reliability Engineering and System Safety, Elsevier, vol. 222(C).
    8. Verma, Amrit Shankar & Yan, Jiquan & Hu, Weifei & Jiang, Zhiyu & Shi, Wei & Teuwen, Julie J.E., 2023. "A review of impact loads on composite wind turbine blades: Impact threats and classification," Renewable and Sustainable Energy Reviews, Elsevier, vol. 178(C).

    More about this item

    Keywords

    n/a;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:16:y:2023:i:4:p:1610-:d:1059145. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.