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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
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    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. 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.
    3. 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.
    4. 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.
    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)

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