Diego Cerrai
Assistant Professor/Civil and Environ Engineering

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Scholarly Contributions

57 Scholarly Contributions

27
Poster/Presentations
26
Journal Articles
2
Conference Proceedings
1
Patent and Intellectual Property
1
Book Chapter
Brief communication: Hurricane Dorian: automated near-real-time mapping of the “unprecedented” flooding in the Bahamas using synthetic aperture radar
2020
Emmanouil N Anagnostou, Diego Cerrai, Marika Koukoula, Xinyi Shen, Qing Yang
Research Type: Journal Article

Autoregressive Modeling of Utility Customer Outages with Deep Neural Networks.
2022
Diego Cerrai, David Wanik, Kingsley Udeh, Emmanouil N Anagnostou, Derek C Aguiar
Research Type: Poster/Presentation

Autoregressive Modeling of Utility Customer Outages with Deep Neural Networks
Kingsley Udeh, Derek C Aguiar, Diego Cerrai, Emmanouil N Anagnostou, David Wanik
Research Type: Conference Proceedings

Assimilation of Local Ground Stations and Radar Data to Improve the Prediction of the 9–10 September 2017 Thunderstorm in Livorno, Italy
2020
Diego Cerrai, Valerio Capecchi, Andrea Antonini, Antonio Ricchi, Samantha Melani, Luca Rovai
Research Type: Poster/Presentation

Assimilating X-and S-band Radar Data for a Heavy Precipitation Event in Italy
2021
Luca Rovai, Antonio Ricchi, Riccardo Benedetti, Samantha Melani, Diego Cerrai, Luca Fibbi, Andrea Antonini, Valerio Capecchi
Research Type: Journal Article

Assessing the effects of a vegetation management standard on distribution grid outage rates
2019
Emmanouil N Anagnostou, Diego Cerrai, Peter Watson
Research Type: Journal Article

Assessing Power Distribution Resilience Hardening Effectiveness Using Combined Physics-Based and Data-Driven Modeling
2023
Emmanouil N Anagnostou, Wei Zhang, Peter Watson, Diego Cerrai, Amvrossios C Bagtzoglou, William Hughes
Research Type: Poster/Presentation

Assessing Grid Hardening Strategies to Improve Power System Performance During Storms Using a Hybrid Mechanistic-Machine Learning Outage Prediction Model
2024
Emmanouil N Anagnostou, Amvrossios C Bagtzoglou, Wei Zhang, Xinxuan Zhang, Diego Cerrai, Peter Watson, William Hughes
Research Type: Journal Article

Application of Machine Learning Algorithms for Wind Gust Prediction: a Comparison between WRF and AI.
2023
Marina Astitha, Israt Jahan, Diego Cerrai
Research Type: Poster/Presentation

Advancing Snowfall Prediction in the Northeast United States: An Integrated Machine Learning and Numerical Weather Modeling Approach
2023
Marina Astitha, Diego Cerrai, Greg Thompson, Ummul Khaira
Research Type: Poster/Presentation

A numerical study of the Livorno 9-10 September 2017 flash flood
2018
Diego Cerrai, Efthymios I Nikolopoulos, Sandro Carniel, Antonio Ricchi, Guido Cioni, Davide Bonaldo, Emmanouil N Anagnostou
Research Type: Poster/Presentation

A case study on power outage impacts from future Hurricane Sandy scenarios
2018
Jie He, Diego Cerrai, Emmanouil N Anagnostou, M. E.B. Frediani, G. M. Lackmann, Marina Astitha, David Wanik, Brian Hartman, Jerry Yang
Research Type: Journal Article

A Success Story: Advancing Outage Prediction Modeling Capabilities for Decision Making
2020
Feifei Yang, Diego Cerrai, Marika Koukoula, William Taylor, Emmanouil N Anagnostou, Guannan Liang
Research Type: Poster/Presentation

A Statistical Framework for Evaluating the Effectiveness of Vegetation Management in Reducing Power Outages Caused during Storms in Distribution Networks
2022
William Taylor, Emmanouil N Anagnostou, Peter Watson, Diego Cerrai
Research Type: Journal Article

A Probabilistic Method for Integrating Physics-Based and Data-Driven Storm Outage Prediction Models for Power Systems
2024
Xiaochuan Luo, William Taylor, William Hughes, Diego Cerrai, Mingguo Hong, Wei Zhang, Slava Maslennikov, Aaron Spaulding, Emmanouil N Anagnostou, Sita Nyame
Research Type: Journal Article

A Hybrid Physics-Based and Data-Driven Model for Power Distribution System Infrastructure Hardening and Outage Simulation
2022
Diego Cerrai, Wei Zhang, Emmanouil N Anagnostou, Amvrossios C Bagtzoglou, David Wanik, William Hughes
Research Type: Journal Article

A Comprehensive Northern Hemisphere Particle Microphysics Data Set From the Precipitation Imaging Package
2024
Marian Mateling, Norman Wood, Peter Rodriguez, Stephen Nesbitt, Martin Stuefer, Tristan L'Ecuyer, Dimitri Moisseev, Mark Kulie, Alexey Chibisov, Telyana Wong, David Wolff, Lynn McMurdie, Larry Bliven, Annakaisa Von Lerber, Fraser King, Matti Leskinen, Matthew Wingo, Claire Pettersen, Steven Cooper, Walter Petersen, Diego Cerrai, Carl Schirtzinger
Research Type: Journal Article