Diego Cerrai

14 papers C 2Journal 11Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Empowering Power Outage Prediction with Spatially Aware Hybrid Graph Neural Networks and Contrastive Learning.
Trans. Mach. Learn. Res.
Xuyang Shen, Zijie Pan, Diego Cerrai, Xinxuan Zhang, Christopher Colorio, Emmanouil Anagnostou, Dongjin Song
2026 J jnl
The impact of weather and environmental factors on power outage vulnerability.
Reliab. Eng. Syst. Saf.
Habiba Islam Munabia, Xinxuan Zhang, Diego Cerrai
2025 J jnl
DashCam Video: A complementary low-cost data stream for on-demand forest-infrastructure system monitoring.
CoRR
Durga Joshi, Chandi Witharana, Robert T. Fahey, Thomas Worthley, Zhe Zhu, Diego Cerrai
2025 J jnl
Transmission Failure Prediction Using AI and Structural Modeling Informed by Distribution Outages.
IEEE Access
Sita Nyame, William O. Taylor, William Hughes, Mingguo Hong, Marika Koukoula, Feifei Yang, Aaron Spaulding, Xiaochuan Luo, Slava Maslennikov, Diego Cerrai
2024 J jnl
Assessing grid hardening strategies to improve power system performance during storms using a hybrid mechanistic-machine learning outage prediction model.
Reliab. Eng. Syst. Saf.
William Hughes, Peter L. Watson, Diego Cerrai, Xinxuan Zhang, Amvrossios C. Bagtzoglou, Wei Zhang, Emmanouil N. Anagnostou
2024 J jnl
Integrating Structural Vulnerability Analysis and Data-Driven Machine Learning to Evaluate Storm Impacts on the Power Grid.
IEEE Access
Peter L. Watson, William Hughes, Diego Cerrai, Wei Zhang, Amvrossios C. Bagtzoglou, Emmanouil N. Anagnostou
2024 J jnl
Predicting Energy Demand Using Machine Learning: Exploring Temporal and Weather-Related Patterns, Variations, and Impacts.
IEEE Access
Buket Sahin, Kingsley Udeh, David W. Wanik, Diego Cerrai
2024 J jnl
Probabilistic Storm and Electric Utility Customer Outage Prediction.
IEEE Access
Kingsley Udeh, David W. Wanik, Diego Cerrai, Emmanouil N. Anagnostou, Derek Aguiar
2024 C conf
The 2021-2024 Winter Precipitation Ground Validation Field Campaign at The University of Connecticut.
IGARSS
Diego Cerrai, Brian Filipiak, Aaron Spaulding, David B. Wolff, Ali Tokay, Charles N. Helms, Adrian M. Loftus, Alexey V. Chibisov, Carl Schirtzinger, Larry Bliven, Charanjit S. Pabla, Mick J. Boulanger, EunYeol Kim, Hein Thant, Francesc Junyent, Venkatachalam Chandrasekar, Branislav Notaros, Gustavo B. H. De Azevedo
2022 J jnl
A Hybrid Physics-Based and Data-Driven Model for Power Distribution System Infrastructure Hardening and Outage Simulation.
Reliab. Eng. Syst. Saf.
William Hughes, Wei Zhang, Diego Cerrai, Amvrossios C. Bagtzoglou, David W. Wanik, Emmanouil N. Anagnostou
2022 — conf
Autoregressive Modeling of Utility Customer Outages with Deep Neural Networks.
CCWC
Kingsley Udeh, David W. Wanik, Diego Cerrai, Derek Aguiar, Emmanouil N. Anagnostou
2021 J jnl
Machine Learning Methods to Approximate Rainfall and Wind From Acoustic Underwater Measurements (February 2020).
IEEE Trans. Geosci. Remote. Sens.
William O. Taylor, Marios N. Anagnostou, Diego Cerrai, Emmanouil N. Anagnostou
2020 C conf
Storm Power Outage Prediction and Verification using NWP Models and Remote Sensing Data.
IGARSS
Diego Cerrai, Peter Watson, Feifei Yang, Marika Koukoula, Emmanouil N. Anagnostou
2019 J jnl
Predicting Storm Outages Through New Representations of Weather and Vegetation.
IEEE Access
Diego Cerrai, David W. Wanik, Md Abul Ehsan Bhuiyan, Xinxuan Zhang, Jaemo Yang, Maria E. B. Frediani, Emmanouil N. Anagnostou