David Walter Wanik
Asst Prof In Res & Director/Operations and Info Management

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Scholarly Contributions

49 Scholarly Contributions

24
Journal Articles
22
Poster/Presentations
2
Conference Proceedings
1
Patent and Intellectual Property
Weather-related power outage model with a growing domain: structure, performance, and generalisability
2020
Peter Watson, David Wanik, Diego Cerrai, Marika Koukoula, Emmanouil N Anagnostou
Research Type: Journal Article

Weather-based energy demand forecasting with deep learning models
2022
David Wanik
Research Type: Poster/Presentation

Utilizing Multi-media Modeling and Machine Learning to Assess dissolved oxygen as a proxy for Hypoxia in Lake Erie
2020
Epapante Vlahos, Valerie Garcia, Christina Feng Chang, Marina Astitha, Jun Yan, Chunling Tang, David Wanik
Research Type: Poster/Presentation

Using vegetation management and LiDAR-derived tree height data to improve outage predictions for electric utilities
2017
Emmanouil N Anagnostou, Jason R Parent, David Wanik, Brian Hartman
Research Type: Journal Article

Using Storm Outage Modeling to Inform Emergency Preparedness at Electric Distribution Networks
2016
Tom Layton, David Wanik
Research Type: Poster/Presentation

Using Neural Factorization to Predict Student Success in a Dual-Degree, STEM Program
David Wanik, Craig A Calvert
Research Type: Journal Article

Using Multi-media Modeling and Machine Learning to Assess Parameters Associated with Harmful Algal Blooms
2019
Christina Feng Chang, Epapante Vlahos, Jun Yan, David Wanik, Chunling Tang, Valerie Garcia, Marina Astitha
Research Type: Poster/Presentation

Using Multi-media Modeling and Machine Learning to Assess Environmental Variables that Affect Chlorophyll-a and Dissolved Oxygen: a Lake Erie application
2020
Marina Astitha, Chunling Tang, Epapante Vlahos, David Wanik, Valerie Garcia, Jun Yan, Christina Feng Chang
Research Type: Poster/Presentation

Using Machine Learning to Assess Parameters Associated with Harmful Algal Blooms (HABs) and Hypoxia for Lake Erie
2019
Marina Astitha, Epapante Vlahos, David Wanik, Christina Feng Chang, Chunling Tang, Valerie Garcia, Ellen Cooter
Research Type: Poster/Presentation

Updates on the Assessment of Environmental Variables Affecting Chlorophyll-a through Multi-media Modeling and Machine Learning: a Lake Erie Case Study
2020
Valerie Garcia, Epapante Vlahos, David Wanik, Christina Feng Chang, Jesse Bash, Marina Astitha, Chunling Tang
Research Type: Poster/Presentation

Updates on Using Multi-media Modeling to Investigate Conditions Leading to Harmful Algal Blooms
2018
Valerie Garcia, Christina Feng Chang, David Wanik, Marina Astitha, Epapante Vlahos, Ellen Cooter
Research Type: Poster/Presentation

Time Series Modeling of Storm Outages with Weather Mesonet Data for Emergency Preparedness and Response
David Wanik, Nick Bassill, Kingsley Udeh, Emmanouil N Anagnostou
Research Type: Conference Proceedings

The Economic case for predicting Storm damages at Electric Distribution Utilities
2017
David Wanik
Research Type: Poster/Presentation

Systems and Methods for Outage Prediction
2021
Emmanouil N. Anagnostou
Research Type: Patent and Intellectual Property

Synergistic Use of Nighttime Satellite Data, Electric Utility Infrastructure, and Ambient Population to Improve Power Outage Detections in Urban Areas
2017
Miguel Roman, Robert Griffin, Tony Cole, Andrew Molthan, David Wanik
Research Type: Journal Article

Storm outage modeling for an electric distribution network in Northeastern USA
2015
M. E.B. Frediani, Brian Hartman, David Wanik, Marina Astitha, Emmanouil N Anagnostou
Research Type: Journal Article

Quantifying uncertainty in machine learning-based power outage prediction model training: A tool for sustainable storm restoration
2020
Emmanouil N Anagnostou, David Wanik, Feifei Yang, Diego Cerrai, Md Abdul Ehsan Bhuiyan
Research Type: Journal Article

Probabilistic Storm and Electric Utility Customer Outage Prediction
Kingsley Udeh, Diego Cerrai, Derek C Aguiar, Emmanouil N Anagnostou, David Wanik
Research Type: Journal Article

Predicting Storm Outages Through New Representations of Weather and Vegetation
2019
Emmanouil N Anagnostou, Jaemo Yang, Md Abul Bhuiyan, Diego Cerrai, Xinxuan Zhang, David Wanik, Maria E.B. Frediani
Research Type: Journal Article

Predicting Energy Demand Using Machine Learning: Exploring Temporal and Weather-Related Patterns, Variations, and Impacts
2024
Diego Cerrai, Kingsley Udeh, David Wanik, Buket Sahin
Research Type: Journal Article