Climate-Proofing Critical Energy Infrastructure: Smart Grids, Artificial Intelligence, and Machine Learning for Power System Resilience against Extreme Weather Events-Reference-Cited by-同舟云学术

Climate-Proofing Critical Energy Infrastructure: Smart Grids, Artificial Intelligence, and Machine Learning for Power System Resilience against Extreme Weather Events

Published:2024-03 Issue:1 Volume:30 Page:
ISSN:1076-0342
Container-title:Journal of Infrastructure Systems
language:en
Short-container-title:J. Infrastruct. Syst.

Author:

Nyangon Joseph¹^ORCID

Affiliation:

1. Senior Industry Advisor for Power and Utilities Innovation, Energy & Utilities Division, SAS Institute, Cary, NC 27513; Visiting Senior Researcher, Center for Energy and Environmental Policy, Univ. of Delaware, Newark, DE 19716; Non-Resident Fellow, Colorado School of Mines, Payne Institute for Public Policy, Golden, CO 80401. ORCID: .

Publisher

American Society of Civil Engineers (ASCE)

Link

https://ascelibrary.org/doi/pdf/10.1061/JITSE4.ISENG-2375

Reference107 articles.

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4. ASCE. 2017. The 2017 Infrastructure Report Card: Energy. Reston, VA: ASCE.

5. Bahrami A. M. Shahidehpour S. Pandey H. Zheng A. Alabdulwahab and A. Abusorrah. 2023. “Machine learning applications to ice-storm power outage forecasting for distribution system resilience enhancement.” In Proc. 2023 IEEE IAS Global Conf. on Emerging Technologies 1–7. New York: IEEE.

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