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David W. Wanik
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Machine learning using combined structural and chemical descriptors for prediction of methane adsorption performance of metal organic frameworks (MOFs)
M Pardakhti, E Moharreri, D Wanik, S Suib, R Srivastava
ACS Combinatorial Science, 2017
1922017
Storm outage modeling for an electric distribution network in Northeastern USA
DW Wanik, EN Anagnostou, BM Hartman, MEB Frediani, M Astitha
Natural Hazards 79, 1359-1384, 2015
1112015
Predicting storm outages through new representations of weather and vegetation
D Cerrai, DW Wanik, MAE Bhuiyan, X Zhang, J Yang, MEB Frediani, ...
IEEE Access 7, 29639-29654, 2019
942019
Using vegetation management and LiDAR-derived tree height data to improve outage predictions for electric utilities
DW Wanik, JR Parent, EN Anagnostou, BM Hartman
Electric Power Systems Research 146, 236–245, 2017
842017
Nonparametric tree‐based predictive modeling of storm outages on an electric distribution network
J He, DW Wanik, BM Hartman, EN Anagnostou, M Astitha, MEB Frediani
Risk Analysis 37 (3), 441-458, 2017
842017
Synergistic Use of Nighttime Satellite Data, Electric Utility Infrastructure, and Ambient Population to Improve Power Outage Detections in Urban Areas
TA Cole, DW Wanik, AL Molthan, MO Roman, RE Griffin
Remote Sensing 9 (3), 286, 2017
672017
A Case Study on Power Outage Impacts from Future Hurricane Sandy Scenarios
DW Wanik, EN Anagnostou, M Astitha, B Hartman, G Lackmann, J Yang, ...
Journal of Applied Meteorology and Climatology, https://doi.org/10.1175/JAMC …, 2017
532017
Damage modeling framework for resilience hardening strategy for overhead power distribution systems
W Hughes, W Zhang, AC Bagtzoglou, D Wanik, O Pensado, H Yuan, ...
Reliability Engineering & System Safety 207, 107367, 2021
502021
Quantifying uncertainty in machine learning-based power outage prediction model training: A tool for sustainable storm restoration
F Yang, DW Wanik, D Cerrai, MAE Bhuiyan, EN Anagnostou
Sustainability 12 (4), 1525, 2020
492020
Dynamic modeling of power outages caused by thunderstorms
BA Alpay, D Wanik, P Watson, D Cerrai, G Liang, E Anagnostou
Forecasting 2 (2), 151-162, 2020
302020
Systems and methods for outage prediction
E Anagnostou, D Wanik, B Hartman, J He
US Patent 11,144,835, 2021
272021
Agent based model to estimate time to restoration of storm-induced power outages
T Walsh, T Layton, D Wanik, J Mellor
Infrastructures 3 (3), 33, 2018
232018
A hybrid physics-based and data-driven model for power distribution system infrastructure hardening and outage simulation
W Hughes, W Zhang, D Cerrai, A Bagtzoglou, D Wanik, E Anagnostou
Reliability Engineering & System Safety 225, 108628, 2022
142022
Weather‐related power outage model with a growing domain: structure, performance, and generalisability
PL Watson, D Cerrai, M Koukoula, DW Wanik, E Anagnostou
The Journal of Engineering 2020 (10), 817-826, 2020
112020
Time series modeling of storm outages with weather mesonet data for emergency preparedness and response
K Udeh, DW Wanik, N Bassill, E Anagnostou
2019 IEEE 10th Annual Ubiquitous Computing, Electronics & Mobile …, 2019
102019
Estimated Time of Restoration (ETR) Guidance for Electric Distribution Networks
DW Wanik, EN Anagnostou, BM Hartman, T Layton
Journal of Homeland Security and Emergency Management, 2018
92018
Autoregressive modeling of utility customer outages with deep neural networks
K Udeh, DW Wanik, D Cerrai, D Aguiar, E Anagnostou
2022 IEEE 12th Annual Computing and Communication Workshop and Conference …, 2022
72022
Linking multi-media modeling with machine learning to assess and predict lake chlorophyll a concentrations
CF Chang, V Garcia, C Tang, P Vlahos, D Wanik, J Yan, JO Bash, ...
Journal of Great Lakes Research 47 (6), 1656-1670, 2021
42021
Estimated time to restoration of hurricane sandy in a future climate
TC Walsh, DW Wanik, EN Anagnostou, JE Mellor
Sustainability 12 (16), 6502, 2020
42020
Community power outage prediction modeling for the Eastern United States
WO Taylor, D Cerrai, D Wanik, M Koukoula, EN Anagnostou
Energy Reports 10, 4148-4169, 2023
12023
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