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

Are you David Walter Wanik?

How to update your information.
"Generative AI for Document Summarization"
2024
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

A Machine-Learning Based Power Outage Model with a Growing Domain: Structure, Performance, and Generalizability
David Wanik, Diego Cerrai, Emmanouil N Anagnostou, Marika Koukoula, Peter Watson
Research Type: Journal Article

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

Agent Based Model to Estimate Time to Restoration of Storm-Induced Power Outages
2018
Thomas Layton, David Wanik, JONATHAN E MELLOR, Tara Walsh
Research Type: Journal Article

Application of a Power Outage Restoration Agent-Based Model to Study Restoration Times for Hurricane Sandy in a Changing Climate
David Wanik, Emmanouil N Anagnostou, Tara Walsh, JONATHAN E MELLOR
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

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
Marina Astitha, Jun Yan, David Wanik, Epapante Vlahos, Chunling Tang, Valerie Garcia, Christina Feng Chang
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
David Wanik, Marina Astitha, Christina Feng Chang, Epapante Vlahos, Valerie Garcia, Jun Yan, Chunling Tang
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

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

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

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

Development of an Agent Based Model to Estimate and Reduce Time to Restoration of Storm-Induced Power Outages
2019
Thomas Layton, David Wanik, JONATHAN E MELLOR, tara walsh
Research Type: Poster/Presentation

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

Dynamic Representation of Storm Outages Using an LSTM Neural Network
2018
Berk Alpay, Emmanouil N Anagnostou, David Wanik
Research Type: Poster/Presentation

Estimated Time of Restoration (ETR) Guidance for Electric Distribution Networks
2018
Emmanouil N Anagnostou, David Wanik
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

Forecasting Storm-Related Power Outages in Connecticut and Massachusetts
2016
David Wanik, Emmanouil N Anagnostou, Brian Hartman, Maria Frediani, Marina Astitha
Research Type: Poster/Presentation

IN23C-1737 Using Predictive Analytics to Predict Power Outages from Severe Weather
2015
David Wanik
Research Type: Poster/Presentation