Renewable Energy / Uninterruptible Power Supplies / Google / Facebook / HP / Hewlett-Packard Labs / Microsoft / /
Country
United States / Australia / /
Currency
USD / / /
Facility
ICT Swinburne University of Technology / California Institute of Technology / /
IndustryTerm
brown energy reduction / industrial electricity price / wind energy / energy traces / solar thermal electricity technology / lower brown energy consumption / brown energy / energy cost curves / cost brown energy consumption / energy coming / internet-scale services / energy sources / brown energy reduction targets / sustainable energy / important tool / internetscale systems / algorithmic solutions / energy usage / energy / brown energy target / energy cost component / electricity / energy consumption / energy storage / energy cost / internetscale system operators significant energy cost savings / power management / minimal energy / brown energy consumption / internet-scale systems costs millions / internet-scale systems / energy efficiency / solar energy / internet-scale system / internet users / actual energy cost / brown energy usage / internet user / /
Organization
California Institute of Technology / National Science Foundation / IL NC / ARC / Lachlan L. H. Andrew Faculty / Swinburne University of Technology / Future Internet Assembly / Lee Center for Advanced Networking / /
Person
A. Pastrama / Adam Wierman / B. St. Arnaud / V / W. Van Heddeghem / A. Mackarel / P. Minoves / James Hamilton / V. Reijs / Minghong Lin / Steven H. Low / /
Position
Governor / model / C. L. Archer / /
ProvinceOrState
Texas / Virginia / Illinois / Oregon / Washington / South Carolina / Florida / North Carolina / California / Georgia / /
Geographical Load Balancing with Renewables ∗ Zhenhua Liu, Minghong Lin, Adam Wierman, Steven H. Low