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

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Predicting County-Level Population From VIIRS Nighttime Light Imagery With Deep Learning
2024
David Wanik, Vineela Datla, Viswadeep Lebakula, Arthur G. Cosby
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

"Generative AI for Document Summarization"
2024
David Wanik
Research Type: Poster/Presentation

Community power outage prediction modeling for the Eastern United States
2023
Diego Cerrai, Emmanouil N Anagnostou, David Wanik, Marika Koukoula, William O. Taylor
Research Type: Journal Article

Assessing the Impact of Climate Change on Energy Demand: Comprehensive Forecasting Models for Sustainable Power Management
2023
David Wanik
Research Type: Poster/Presentation

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

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

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

Linking multi-media modeling with machine learning to assess and predict lake chlorophyll a concentrations
2021
Marina Astitha, Epapante Vlahos, Christina Chang
Research Type: Journal Article

Damage modeling framework for resilience hardening strategy for overhead power distribution systems
2021
David Wanik, Amvrossios C Bagtzoglou, Osvaldo Pensado, William Hughes, Hao Yuan, Wei Zhang, Jintao Zhang
Research Type: Journal Article

Systems and Methods for Outage Prediction
2021
Research Type: 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

Estimated time to restoration of Hurricane Sandy in a future climate
2020
JONATHAN E MELLOR, Tara C. Walsh, Emmanouil N Anagnostou, David Wanik
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

Dynamic Modeling of Power Outages Caused by Thunderstorms
2020
Diego Cerrai, David Wanik, Emmanouil N Anagnostou, Berk Alpay, Peter L Watson, Guannan Liang
Research Type: Journal Article

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

On the Sensitivity of a Machine Learning-Based Model to Predict Chlorophyll- Using Multi-Media Modeling Environmental Predictors
2020
Valerie Garcia, Chunling Tang, Epapante Vlahos, Christina Feng Chang, Jesse Bash, David Wanik, Marina Astitha
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 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

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