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Spatial generalized linear mixed models of electric power outages due to hurricanes and ice storms

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Cited by:

  1. Wang, Jian & Gao, Shibin & Yu, Long & Zhang, Dongkai & Ding, Chugang & Chen, Ke & Kou, Lei, 2022. "Predicting wind-caused floater intrusion risk for overhead contact lines based on Bayesian neural network with spatiotemporal correlation analysis," Reliability Engineering and System Safety, Elsevier, vol. 225(C).
  2. Dana Anderson & Rachel A. Davidson & Keisuke Himoto & Charles Scawthorn, 2016. "Statistical Modeling of Fire Occurrence Using Data from the Tōhoku, Japan Earthquake and Tsunami," Risk Analysis, John Wiley & Sons, vol. 36(2), pages 378-395, February.
  3. D. Wanik & E. Anagnostou & B. Hartman & M. Frediani & M. Astitha, 2015. "Storm outage modeling for an electric distribution network in Northeastern USA," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 79(2), pages 1359-1384, November.
  4. Xue, Jiayue & Mohammadi, Farshad & Li, Xin & Sahraei-Ardakani, Mostafa & Ou, Ge & Pu, Zhaoxia, 2020. "Impact of transmission tower-line interaction to the bulk power system during hurricane," Reliability Engineering and System Safety, Elsevier, vol. 203(C).
  5. Roshanak Nateghi & Seth D. Guikema & Yue (Grace) Wu & C. Bayan Bruss, 2016. "Critical Assessment of the Foundations of Power Transmission and Distribution Reliability Metrics and Standards," Risk Analysis, John Wiley & Sons, vol. 36(1), pages 4-15, January.
  6. Oh, Seongmun & Jufri, Fauzan Hanif & Choi, Min-Hee & Jung, Jaesung, 2022. "A study of tropical cyclone impact on the power distribution grid in South Korea for estimating damage," Renewable and Sustainable Energy Reviews, Elsevier, vol. 156(C).
  7. Xu, Hao & Gardoni, Paolo, 2020. "Conditional formulation for the calibration of multi-level random fields with incomplete data," Reliability Engineering and System Safety, Elsevier, vol. 204(C).
  8. D. Brent McRoberts & Steven M. Quiring & Seth D. Guikema, 2018. "Improving Hurricane Power Outage Prediction Models Through the Inclusion of Local Environmental Factors," Risk Analysis, John Wiley & Sons, vol. 38(12), pages 2722-2737, December.
  9. Steven Quiring & Laiyin Zhu & Seth Guikema, 2011. "Importance of soil and elevation characteristics for modeling hurricane-induced power outages," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 58(1), pages 365-390, July.
  10. Mukherjee, Sayanti & Nateghi, Roshanak & Hastak, Makarand, 2018. "A multi-hazard approach to assess severe weather-induced major power outage risks in the U.S," Reliability Engineering and System Safety, Elsevier, vol. 175(C), pages 283-305.
  11. Otto, Räisänen & Susanne, Suvanto & Jouni, Haapaniemi & Jukka, Lassila, 2023. "Crown snow load outage risk model for overhead lines," Applied Energy, Elsevier, vol. 343(C).
  12. Mahyar Ghorbanzadeh & Mohammadreza Koloushani & Mehmet Baran Ulak & Eren Erman Ozguven & Reza Arghandeh Jouneghani, 2020. "Statistical and Spatial Analysis of Hurricane-induced Roadway Closures and Power Outages," Energies, MDPI, vol. 13(5), pages 1-18, March.
  13. Hughes, William & Zhang, Wei & Bagtzoglou, Amvrossios C. & Wanik, David & Pensado, Osvaldo & Yuan, Hao & Zhang, Jintao, 2021. "Damage modeling framework for resilience hardening strategy for overhead power distribution systems," Reliability Engineering and System Safety, Elsevier, vol. 207(C).
  14. Andrade, Antonio Ramos & Stow, Julian, 2017. "Assessing the potential cost savings of introducing the maintenance option of ‘Economic Tyre Turning’ in Great Britain railway wheelsets," Reliability Engineering and System Safety, Elsevier, vol. 168(C), pages 317-325.
  15. Wenjuan Sun & Paolo Bocchini & Brian D. Davison, 2020. "Applications of artificial intelligence for disaster management," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 103(3), pages 2631-2689, September.
  16. Roshanak Nateghi & Seth Guikema & Steven M. Quiring, 2014. "Power Outage Estimation for Tropical Cyclones: Improved Accuracy with Simpler Models," Risk Analysis, John Wiley & Sons, vol. 34(6), pages 1069-1078, June.
  17. Dimitris N. Trakas & Mathaios Panteli & Nikos D. Hatziargyriou & Pierluigi Mancarella, 2019. "Spatial Risk Analysis of Power Systems Resilience During Extreme Events," Risk Analysis, John Wiley & Sons, vol. 39(1), pages 195-211, January.
  18. Feifei Yang & Diego Cerrai & Emmanouil N. Anagnostou, 2021. "The Effect of Lead-Time Weather Forecast Uncertainty on Outage Prediction Modeling," Forecasting, MDPI, vol. 3(3), pages 1-16, July.
  19. Hughes, William & Zhang, Wei & Cerrai, Diego & Bagtzoglou, Amvrossios & Wanik, David & Anagnostou, Emmanouil, 2022. "A Hybrid Physics-Based and Data-Driven Model for Power Distribution System Infrastructure Hardening and Outage Simulation," Reliability Engineering and System Safety, Elsevier, vol. 225(C).
  20. Seth D. Guikema & Steven M. Quiring & Seung‐Ryong Han, 2010. "Prestorm Estimation of Hurricane Damage to Electric Power Distribution Systems," Risk Analysis, John Wiley & Sons, vol. 30(12), pages 1744-1752, December.
  21. Graziano, Marcello & Gunther, Peter & Gallaher, Adam & Carstensen, Fred V. & Becker, Brian, 2020. "The wider regional benefits of power grids improved resilience through tree-trimming operations evidences from Connecticut, USA," Energy Policy, Elsevier, vol. 138(C).
  22. Seung‐Ryong Han & David Rosowsky & Seth Guikema, 2014. "Integrating Models and Data to Estimate the Structural Reliability of Utility Poles During Hurricanes," Risk Analysis, John Wiley & Sons, vol. 34(6), pages 1079-1094, June.
  23. Chen, Hao & Chen, Xi & Niu, Jinye & Xiang, Mengyu & He, Weijun & Küfeoğlu, Sinan, 2021. "Estimating the marginal cost of reducing power outage durations in China: A parametric distance function approach," Energy Policy, Elsevier, vol. 155(C).
  24. Barker, Kash & Baroud, Hiba, 2014. "Proportional hazards models of infrastructure system recovery," Reliability Engineering and System Safety, Elsevier, vol. 124(C), pages 201-206.
  25. Hamdy F. F. Mahmoud & Inyoung Kim, 2023. "Semiparametric Integrated and Additive Spatio-Temporal Single-Index Models," Mathematics, MDPI, vol. 11(22), pages 1-15, November.
  26. Seung‐Ryong Han & Seth D. Guikema & Steven M. Quiring, 2009. "Improving the Predictive Accuracy of Hurricane Power Outage Forecasts Using Generalized Additive Models," Risk Analysis, John Wiley & Sons, vol. 29(10), pages 1443-1453, October.
  27. Jichao He & David W. Wanik & Brian M. Hartman & Emmanouil N. Anagnostou & Marina Astitha & Maria E. B. Frediani, 2017. "Nonparametric Tree‐Based Predictive Modeling of Storm Outages on an Electric Distribution Network," Risk Analysis, John Wiley & Sons, vol. 37(3), pages 441-458, March.
  28. Xiao, Hao & Pei, Wei & Deng, Wei & Ma, Tengfei & Zhang, Shizhong & Kong, Li, 2021. "Enhancing risk control ability of distribution network for improved renewable energy integration through flexible DC interconnection," Applied Energy, Elsevier, vol. 284(C).
  29. Senderov, Sergey M. & Vorobev, Sergey V. & Smirnova, Elena M., 2022. "Peak underground gas storage efficiency in reducing the vulnerability of gas supply to consumers in an extensive gas transmission system," Reliability Engineering and System Safety, Elsevier, vol. 221(C).
  30. Chopra, Shauhrat S. & Khanna, Vikas, 2015. "Interconnectedness and interdependencies of critical infrastructures in the US economy: Implications for resilience," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 436(C), pages 865-877.
  31. Hughes, William & Watson, Peter L. & Cerrai, Diego & Zhang, Xinxuan & Bagtzoglou, Amvrossios & Zhang, Wei & Anagnostou, Emmanouil, 2024. "Assessing grid hardening strategies to improve power system performance during storms using a hybrid mechanistic-machine learning outage prediction model," Reliability Engineering and System Safety, Elsevier, vol. 248(C).
  32. Wang, Jian & Gao, Shibin & Yu, Long & Zhang, Dongkai & Xie, Chenlin & Chen, Ke & Kou, Lei, 2023. "Data-driven lightning-related failure risk prediction of overhead contact lines based on Bayesian network with spatiotemporal fragility model," Reliability Engineering and System Safety, Elsevier, vol. 231(C).
  33. Mehmet Baran Ulak & Ayberk Kocatepe & Lalitha Madhavi Konila Sriram & Eren Erman Ozguven & Reza Arghandeh, 2018. "Assessment of the hurricane-induced power outages from a demographic, socioeconomic, and transportation perspective," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 92(3), pages 1489-1508, July.
  34. Rocchetta, Roberto & Zio, Enrico & Patelli, Edoardo, 2018. "A power-flow emulator approach for resilience assessment of repairable power grids subject to weather-induced failures and data deficiency," Applied Energy, Elsevier, vol. 210(C), pages 339-350.
  35. Debón, A. & Carlos Garcia-Díaz, J., 2012. "Fault diagnosis and comparing risk for the steel coil manufacturing process using statistical models for binary data," Reliability Engineering and System Safety, Elsevier, vol. 100(C), pages 102-114.
  36. Hui Hou & Shiwen Yu & Hongbin Wang & Yong Huang & Hao Wu & Yan Xu & Xianqiang Li & Hao Geng, 2019. "Risk Assessment and Its Visualization of Power Tower under Typhoon Disaster Based on Machine Learning Algorithms," Energies, MDPI, vol. 12(2), pages 1-23, January.
  37. Maliszewski, Paul J. & Larson, Elisabeth K. & Perrings, Charles, 2012. "Environmental determinants of unscheduled residential outages in the electrical power distribution of Phoenix, Arizona," Reliability Engineering and System Safety, Elsevier, vol. 99(C), pages 161-171.
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