William Vining

Member, Technical Staff

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Member, Technical Staff

wfvinin@sandia.gov

Biography

William Vining is an intern in the Renewable and Distributed Systems Integration group and a graduate student studying Computer Science at the University of New Mexico. He holds a B.S. in Computer Science also from the University of New Mexico. Prior to joining Sandia he was an intern in the High Performance Computing division at Los Alamos National Laboratory where he was one of the primary developers of a massively scalable, fault-tolerant, distributed data storage system. As a graduate student he has studied swarm robotics, complex adaptive systems, and unconventional computing. He has co-authored papers on scalable data storage, swarm robotics, and complex systems. At Sandia his work focuses primarily on the development of open source software for quality control and analysis of data from photovoltaic systems.

Education

  • Master of Science, Computer Science 2020 from University of New Mexico
  • Bachelors of Science, Computer Science, University of New Mexico

Google Scholar

William F. Vining

Publications

John Haines, Brooke Garcia, William Vining, Matthew Lave, (2021). A Co-Simulation Approach to Modeling Electric Vehicle Impacts on Distribution Feeders During Resilience Events – Conference Poster https://doi.org/10.2172/1895007 Publication ID: 76323

Christian Jones, William Vining, John Haines, (2021). City-Wide Distributed Roof-Top Photovoltaic System Adoption Forecast, Grid Impact Simulation, & Neighborhood Microgrid Contribution Assessment https://doi.org/10.2172/1854753 Publication ID: 75969

C. Jones, Matthew Lave, William Vining, Brooke Garcia, (2021). Uncontrolled electric vehicle charging impacts on distribution electric power systems with primarily residential, commercial or industrial loads Energies https://doi.org/10.3390/en14061688 Publication ID: 77731

Clifford Hansen, Dirk Jordan, Michael Deceglie, Thushara Gunda, Hector Mendoza, Matt Muller, William Vining, (2021). Data Cleaning for Degradation Analyses https://www.osti.gov/servlets/purl/1854657 Publication ID: 76820

Clifford Hansen, Dirk Jordan, Michael Deceglie, Thushara Gunda, Michael Hopwood, Hector Mendoza, Matt Muller, William Vining, (2021). Data Cleaning for Degradation Analyses https://doi.org/10.2172/1845618 Publication ID: 76821

John Haines, Brooke Garcia, William Vining, Matthew Lave, (2021). A Co-Simulation Approach to Modeling Electric Vehicle Impacts on Distribution Feeders during Resilience Events 2021 Resilience Week, RWS 2021 – Proceedings https://doi.org/10.1109/RWS52686.2021.9611803 Publication ID: 76157

Clifford Hansen, Dirk Jordan, Michael Deceglie, Thushara Gunda, Hector Mendoza, Matt Muller, William Vining, (2020). Data Cleaning for Degradation Analyses https://www.osti.gov/servlets/purl/1821842 Publication ID: 74963

Clifford Hansen, Dirk Jordan, Michael Deceglie, Matt Muller, Thushara Gunda, William Vining, (2020). Data Cleaning for Degradation Analyses https://www.osti.gov/servlets/purl/1767884 Publication ID: 72746

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