David W. Wanik

David W. Wanik

University of Connecticut

H-index: 12

North America-United States

About David W. Wanik

David W. Wanik, With an exceptional h-index of 12 and a recent h-index of 12 (since 2020), a distinguished researcher at University of Connecticut, specializes in the field of natural hazards, data science, energy, business analytics, remote sensing.

His recent articles reflect a diverse array of research interests and contributions to the field:

Predicting Energy Demand Using Machine Learning: Exploring Temporal and Weather-Related Patterns, Variations, and Impacts

Predicting County-Level Population from VIIRS Nighttime Light Imagery with Deep Learning

Community power outage prediction modeling for the Eastern United States

A hybrid physics-based and data-driven model for power distribution system infrastructure hardening and outage simulation

Autoregressive modeling of utility customer outages with deep neural networks

Linking multi-media modeling with machine learning to assess and predict lake chlorophyll a concentrations

Systems and methods for outage prediction

Damage modeling framework for resilience hardening strategy for overhead power distribution systems

David W. Wanik Information

University

Position

___

Citations(all)

859

Citations(since 2020)

779

Cited By

321

hIndex(all)

12

hIndex(since 2020)

12

i10Index(all)

15

i10Index(since 2020)

15

Email

University Profile Page

Google Scholar

David W. Wanik Skills & Research Interests

natural hazards

data science

energy

business analytics

remote sensing

Top articles of David W. Wanik

Title

Journal

Author(s)

Publication Date

Predicting Energy Demand Using Machine Learning: Exploring Temporal and Weather-Related Patterns, Variations, and Impacts

IEEE Access

Buket Sahin

Kingsley Udeh

David W Wanik

Diego Cerrai

2024/2/26

Predicting County-Level Population from VIIRS Nighttime Light Imagery with Deep Learning

IEEE Sensors Journal

Viswadeep Lebakula

Vineela Datla

David W Wanik

Arthur G Cosby

2024/2/13

Community power outage prediction modeling for the Eastern United States

Energy Reports

William O Taylor

Diego Cerrai

David Wanik

Marika Koukoula

Emmanouil N Anagnostou

2023/11/1

A hybrid physics-based and data-driven model for power distribution system infrastructure hardening and outage simulation

Reliability Engineering & System Safety

William Hughes

Wei Zhang

Diego Cerrai

Amvrossios Bagtzoglou

David Wanik

...

2022/9/1

Autoregressive modeling of utility customer outages with deep neural networks

Kingsley Udeh

David W Wanik

Diego Cerrai

Derek Aguiar

Emmanouil Anagnostou

2022/1/26

Linking multi-media modeling with machine learning to assess and predict lake chlorophyll a concentrations

Journal of Great Lakes Research

Christina Feng Chang

Valerie Garcia

Chunling Tang

Penny Vlahos

David Wanik

...

2021/12/1

Systems and methods for outage prediction

2021/10/12

Damage modeling framework for resilience hardening strategy for overhead power distribution systems

Reliability Engineering & System Safety

William Hughes

Wei Zhang

Amvrossios C Bagtzoglou

David Wanik

Osvaldo Pensado

...

2021/3/1

Dynamic modeling of power outages caused by thunderstorms

Forecasting

Berk A Alpay

David Wanik

Peter Watson

Diego Cerrai

Guannan Liang

...

2020/5/22

Quantifying uncertainty in machine learning-based power outage prediction model training: A tool for sustainable storm restoration

Sustainability

Feifei Yang

David W Wanik

Diego Cerrai

Md Abul Ehsan Bhuiyan

Emmanouil N Anagnostou

2020/2/18

Weather‐related power outage model with a growing domain: structure, performance, and generalisability

The Journal of Engineering

Peter L Watson

Diego Cerrai

Marika Koukoula

David W Wanik

Emmanouil Anagnostou

2020/10

Estimated time to restoration of hurricane sandy in a future climate

Sustainability

Tara C Walsh

David W Wanik

Emmanouil N Anagnostou

Jonathan E Mellor

2020/8/12

See List of Professors in David W. Wanik University(University of Connecticut)

Co-Authors

academic-engine