Faculty

Institution

Unit

Venue

Diego Cerrai

Assistant Professor

University of Connecticut

Affiliations

College of Engineering

Civil and Environmental Engineering

Diego Cerrai is currently serving as a Civil And Environmental Engineering Assistant Professor at University of Connecticut.

Honors

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Experiences

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Education

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Diego Cerrai

University of Connecticut

Assistant Professor

You can click a keyword to filter the displayed items

electrical engineering forecasting meteorology systems engineering machine learning weather forecasting atmospheric science reliability engineering engineering atmospheric research environmental engineering energy management risk management applied meteorology power engineering power system reliability electric power systems power system analysis grid stability oceanography disaster risk reduction infrastructure engineering power management numerical weather prediction power outages earth system science geophysical research geoscientific model development predictability power system control earth observation meteorological measurements electric power distribution failure prediction dynamic modeling vegetation management storm outages mediterranean tropical-like cyclone sustainable development applied ecology synthetic aperture radar coastal research coastal management atmospheric measurement technique aerosol science hydrometeorology system safety weathering power system protection iso management standard data-driven prediction system reliability power system restoration engineering performance acoustical oceanography earth observation data coastal flooding geospatial mapping disaster management electric power transmission energy modeling energy forecasting data assimilation scholarly communication author profiling potential vorticity patterns sustainable storm restoration outage prediction models ice storms power outage impacts storm-resolving model vegetation management standard outage simulation data-driven model weather-related power outages acoustic underwater measurements stormwater geography weather modification earth science drought forecasting

Notable Scholarly Works

Notable Federal Grants

Collaborators

A Comprehensive Northern Hemisphere Particle Microphysics Data Set From the Precipitation Imaging Package. Earth and Space Science (2024)

Fraser KingClaire PettersenLarry F. BlivenDiego CerraiAlexey ChibisovSteven J. CooperTristan L’EcuyerMark S. KulieMatti LeskinenMarian MatelingLynn McMurdieDimitri MoisseevStephen W. NesbittWalter A. PetersenPeter RodriguezCarl SchirtzingerMartin StueferAnnakaisa von LerberMatthew T. WingoDavid B. WolffTelyana WongNorman Wood

atmospheric measurement techniqueparticle microphysicsclimatologyprecipitation imaging packageatmospheric researchaerosol sciencebulk precipitation characteristicsgeographyhydrometeorologyapplied meteorologygeoscientific model developmentnumerical weather predictionearth scienceweather forecastingmeteorological measurementsatmospheric sciencemeteorology

A Probabilistic Method for Integrating Physics-Based and Data-Driven Storm Outage Prediction Models for Power Systems. ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems Part A Civil Engineering (2024)

William HughesSita NyameWilliam TaylorAaron SpauldingMingguo HongXiaochuan LuoSlava MaslennikovDiego CerraiEmmanouil AnagnostouWei Zhang

power system analysispower system reliabilitysystems engineeringdata modelingrisk managementcontrol systemsapplied probabilityreliability engineeringpower system controlprobabilistic methodcivil engineeringapplied mathematicspower systemsforecastingfailure predictionpower management

Assessing Grid Hardening Strategies to Improve Power System Performance During Storms Using a Hybrid Mechanistic-Machine Learning Outage Prediction Model. Reliability Engineering & System Safety (2024)

William HughesPeter L. WatsonDiego CerraiXinxuan ZhangAmvrossios BagtzoglouWei ZhangEmmanouil Anagnostou

power system reliabilitysystems engineeringreliability engineeringpower system performanceelectrical engineeringapplied mathematicsmachine learning

Integrating Physics-Based Wrf Atmospheric Variables and Machine Learning Algorithms to Predict Snowfall Accumulation in Northeast United States. Journal of Hydrology (2024)

Ummul KhairaDiego CerraiGregory ThompsonMarina Astitha

hydrologyenvironmental sciencesnowfall accumulationnortheast united statesmachine learninghydrological modeling

Integrating Structural Vulnerability Analysis and Data-Driven Machine Learning to Evaluate Storm Impacts on the Power Grid. IEEE Access (2024)

Peter L. WatsonWilliam HughesDiego CerraiWei ZhangAmvrossios BagtzoglouEmmanouil Anagnostou

systems engineeringwind powerstructural vulnerability analysisreliability engineeringstorm impactsinfrastructure engineeringgrid stabilitypower gridelectrical engineeringmachine learningengineering

Non-Parametric Machine Learning Modeling of Tree-Caused Power Outage Risk to Overhead Distribution Powerlines. Applied Sciences (2024)

Harshana WedagedaraChandi WitharanaRobert FaheyDiego CerraiJason ParentAmal S. Perera

environmental engineeringpower engineeringapplied statisticselectrical engineeringapplied mathematicsapplied economics

Predicting Energy Demand Using Machine Learning: Exploring Temporal and Weather-Related Patterns, Variations, and Impacts. IEEE Access (2024)

Buket SahinKingsley UdehDavid W. WanikDiego Cerrai

predictive analyticstrend predictiontime seriesweather-related patternsenergy demanddata scienceforecastingmachine learning

Probabilistic Storm and Electric Utility Customer Outage Prediction. IEEE Access (2024)

Kingsley UdehDavid W. WanikDiego CerraiEmmanouil N. AnagnostouDerek Aguiar

uncertainty analysispredictive analyticsreliability engineeringwarning systemreliability predictionprobabilistic stormpredictive maintenanceelectrical engineeringprobabilistic forecastingweather forecastingforecastingdisasters

Storm Gust Prediction With the Integration of Machine Learning Algorithms and Wrf Model Variables for the Northeast United States. Artificial Intelligence for the Earth Systems (2024)

Israt JahanDiego CerraiMarina Astitha

machine intelligenceearth system sciencesystems engineeringmachine learningatmospheric researchstorm gust predictionartificial intelligenceapplied meteorologyearth sciencewrf model variablesnortheast united statescomputer scienceatmospheric sciencemeteorology

The 2021-2024 Winter Precipitation Ground Validation Field Campaign at the University of Connecticut. IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium (2024)

Diego CerraiBrian FilipiakAaron SpauldingDavid B. WolffAli TokayCharles N. HelmsAdrian M. LoftusAlexey V. ChibisovCarl SchirtzingerLarry BlivenCharanjit S. PablaMick J. BoulangerEunYeol KimHein ThantFrancesc JunyentVenkatachalam ChandrasekarBranislav NotarosGustavo B. H. De Azevedo

earth observationgeophysical researchenvironmental scienceremote sensinggeoscientific model developmentearth science

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Diego Cerrai

Assistant Professor

University of Connecticut

Affiliations

College of Engineering

Civil and Environmental Engineering

Diego Cerrai is currently serving as a Civil And Environmental Engineering Assistant Professor at University of Connecticut.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Diego Cerrai

University of Connecticut

Assistant Professor

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

A Comprehensive Northern Hemisphere Particle Microphysics Data Set From the Precipitation Imaging Package. Earth and Space Science (2024)

William HughesSita NyameWilliam TaylorAaron SpauldingMingguo HongXiaochuan LuoSlava MaslennikovDiego CerraiEmmanouil AnagnostouWei Zhang

William HughesPeter L. WatsonDiego CerraiXinxuan ZhangAmvrossios BagtzoglouWei ZhangEmmanouil Anagnostou

power system reliabilitysystems engineeringreliability engineeringpower system performanceelectrical engineeringapplied mathematicsmachine learning

Integrating Physics-Based Wrf Atmospheric Variables and Machine Learning Algorithms to Predict Snowfall Accumulation in Northeast United States. Journal of Hydrology (2024)

Ummul KhairaDiego CerraiGregory ThompsonMarina Astitha

hydrologyenvironmental sciencesnowfall accumulationnortheast united statesmachine learninghydrological modeling

Integrating Structural Vulnerability Analysis and Data-Driven Machine Learning to Evaluate Storm Impacts on the Power Grid. IEEE Access (2024)

Peter L. WatsonWilliam HughesDiego CerraiWei ZhangAmvrossios BagtzoglouEmmanouil Anagnostou

systems engineeringwind powerstructural vulnerability analysisreliability engineeringstorm impactsinfrastructure engineeringgrid stabilitypower gridelectrical engineeringmachine learningengineering

Non-Parametric Machine Learning Modeling of Tree-Caused Power Outage Risk to Overhead Distribution Powerlines. Applied Sciences (2024)

Harshana WedagedaraChandi WitharanaRobert FaheyDiego CerraiJason ParentAmal S. Perera

environmental engineeringpower engineeringapplied statisticselectrical engineeringapplied mathematicsapplied economics

Predicting Energy Demand Using Machine Learning: Exploring Temporal and Weather-Related Patterns, Variations, and Impacts. IEEE Access (2024)

Buket SahinKingsley UdehDavid W. WanikDiego Cerrai

predictive analyticstrend predictiontime seriesweather-related patternsenergy demanddata scienceforecastingmachine learning

Probabilistic Storm and Electric Utility Customer Outage Prediction. IEEE Access (2024)

Kingsley UdehDavid W. WanikDiego CerraiEmmanouil N. AnagnostouDerek Aguiar

Storm Gust Prediction With the Integration of Machine Learning Algorithms and Wrf Model Variables for the Northeast United States. Artificial Intelligence for the Earth Systems (2024)

Israt JahanDiego CerraiMarina Astitha

The 2021-2024 Winter Precipitation Ground Validation Field Campaign at the University of Connecticut. IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium (2024)

earth observationgeophysical researchenvironmental scienceremote sensinggeoscientific model developmentearth science

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oceanography

geography

Steven J. Burian

Institution

University of Utah

stormwater management

water resource system

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University of Delaware

infrastructure engineering

civil infrastructure systems

Emmanouil N. Anagnostou

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geocomputation

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sustainability science

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sustainability science

natural disaster

Ben Livneh

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environmental science

earth science