Diego Cerrai

According to our database, Diego Cerrai authored at least 14 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Empowering Power Outage Prediction with Spatially Aware Hybrid Graph Neural Networks and Contrastive Learning.

Xuyang Shen, Zijie Pan, Diego Cerrai, Xinxuan Zhang, Christopher Colorio, Emmanouil N. Anagnostou, Dongjin Song

Trans. Mach. Learn. Res., 2026

The impact of weather and environmental factors on power outage vulnerability.

Habiba Islam Munabia, Xinxuan Zhang, Diego Cerrai

Reliab. Eng. Syst. Saf., 2026

2025

DashCam Video: A complementary low-cost data stream for on-demand forest-infrastructure system monitoring.

Durga Joshi, Chandi Witharana, Robert T. Fahey, Thomas Worthley, Zhe Zhu, Diego Cerrai

CoRR, August, 2025

Transmission Failure Prediction Using AI and Structural Modeling Informed by Distribution Outages.

Sita Nyame, William O. Taylor, William Hughes, Mingguo Hong, Marika Koukoula, Feifei Yang, Aaron Spaulding, Xiaochuan Luo, Slava Maslennikov, Diego Cerrai

IEEE Access, 2025

2024

Assessing grid hardening strategies to improve power system performance during storms using a hybrid mechanistic-machine learning outage prediction model.

William Hughes, Peter L. Watson, Diego Cerrai, Xinxuan Zhang, Amvrossios C. Bagtzoglou, Wei Zhang, Emmanouil N. Anagnostou

Reliab. Eng. Syst. Saf., 2024

Integrating Structural Vulnerability Analysis and Data-Driven Machine Learning to Evaluate Storm Impacts on the Power Grid.

Peter L. Watson, William Hughes, Diego Cerrai, Wei Zhang, Amvrossios C. Bagtzoglou, Emmanouil N. Anagnostou

IEEE Access, 2024

Probabilistic Storm and Electric Utility Customer Outage Prediction.

Kingsley Udeh, David W. Wanik, Diego Cerrai, Emmanouil N. Anagnostou, Derek Aguiar

IEEE Access, 2024

Predicting Energy Demand Using Machine Learning: Exploring Temporal and Weather-Related Patterns, Variations, and Impacts.

Buket Sahin, Kingsley Udeh, David W. Wanik, Diego Cerrai

IEEE Access, 2024

The 2021-2024 Winter Precipitation Ground Validation Field Campaign at The University of Connecticut.

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

Proceedings of the IGARSS 2024, 2024

2022

A Hybrid Physics-Based and Data-Driven Model for Power Distribution System Infrastructure Hardening and Outage Simulation.

William Hughes, Wei Zhang, Diego Cerrai, Amvrossios C. Bagtzoglou, David W. Wanik, Emmanouil N. Anagnostou

Reliab. Eng. Syst. Saf., 2022

Autoregressive Modeling of Utility Customer Outages with Deep Neural Networks.

Kingsley Udeh, David W. Wanik, Diego Cerrai, Derek Aguiar, Emmanouil N. Anagnostou

Proceedings of the 12th IEEE Annual Computing and Communication Workshop and Conference, 2022

2021

Machine Learning Methods to Approximate Rainfall and Wind From Acoustic Underwater Measurements (February 2020).

William O. Taylor, Marios N. Anagnostou, Diego Cerrai, Emmanouil N. Anagnostou

IEEE Trans. Geosci. Remote. Sens., 2021

2020

Storm Power Outage Prediction and Verification using NWP Models and Remote Sensing Data.

Diego Cerrai, Peter Watson, Feifei Yang, Marika Koukoula, Emmanouil N. Anagnostou

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

2019

Predicting Storm Outages Through New Representations of Weather and Vegetation.

Diego Cerrai, David W. Wanik, Md Abul Ehsan Bhuiyan, Xinxuan Zhang, Jaemo Yang, Maria E. B. Frediani, Emmanouil N. Anagnostou

IEEE Access, 2019