David Walter Wanik
Asst Prof In Res & Director/Operations and Info Management
Storrs Mansfield
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Scholarly Contributions
49 Scholarly Contributions
Using Multi-media Modeling and Machine Learning to Assess Parameters Associated with Harmful Algal Blooms
2019
Research Type: Poster/Presentation
Using Machine Learning to Assess Parameters Associated with Harmful Algal Blooms (HABs) and Hypoxia for Lake Erie
2019
Research Type: Poster/Presentation
Development of an Agent Based Model to Estimate and Reduce Time to Restoration of Storm-Induced Power Outages
2019
Research Type: Poster/Presentation
Assessment of Environmental Variables that Affect Harmful Algal Blooms and Hypoxia in Lake Erie Using Multi-media Modeling and Machine Learning
2019
Research Type: Poster/Presentation
Assessment of Environmental Variables that Affect Dissolved Oxygen, Total P, and Total N Concentrations in Lake Erie Using Multi-media Modeling and Machine Learning
2019
Research Type: Poster/Presentation
A case study on power outage impacts from future Hurricane Sandy scenarios
2018
Research Type: Journal Article
Estimated Time of Restoration (ETR) Guidance for Electric Distribution Networks
2018
Research Type: Journal Article
Agent Based Model to Estimate Time to Restoration of Storm-Induced Power Outages
2018
Research Type: Journal Article
Updates on Using Multi-media Modeling to Investigate Conditions Leading to Harmful Algal Blooms
2018
Research Type: Poster/Presentation
Dynamic Representation of Storm Outages Using an LSTM Neural Network
2018
Research Type: Poster/Presentation
Machine learning using combined structural and chemical descriptors for prediction of methane adsorption performance of metal organic frameworks (MOFs)
2017
Research Type: Journal Article
Synergistic Use of Nighttime Satellite Data, Electric Utility Infrastructure, and Ambient Population to Improve Power Outage Detections in Urban Areas
2017
Research Type: Journal Article
Nonparametric Tree-Based Predictive Modeling of Storm Outages on an Electric Distribution Network
2017
Research Type: Journal Article
Using vegetation management and LiDAR-derived tree height data to improve outage predictions for electric utilities
2017
Research Type: Journal Article
The Economic case for predicting Storm damages at Electric Distribution Utilities
2017
Research Type: Poster/Presentation
Forecasting Storm-Related Power Outages in Connecticut and Massachusetts
2016
Research Type: Poster/Presentation
Integration of early warning systems to enhance emergency response to severe weather events
2016
Research Type: Poster/Presentation
Using Storm Outage Modeling to Inform Emergency Preparedness at Electric Distribution Networks
2016
Research Type: Poster/Presentation