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Flexible computing for intermittent energy

Flexible computing for intermittent energy

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Tags: Distributed computing methodologies, Renewable energy

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Flexible Computing for Intermittent Energy

Published:24 June 2021Publication History
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Abstract

How flexible computing can help speed the adoption of inflexible renewables.

References

  1. 1 Chien A. A., Yang F., and Zhang C. Characterizing curtailed and uneconomic renewable power in the mid-continent independent system operator. arXiv preprint arXiv:1702.05403. 2016.Google ScholarGoogle Scholar
  2. 2 Chien A. A. Characterizing opportunity power in the California Independent System Operator (CAISO) in years 2015-2017. Technical Report TR-2018-07. University of Chicago, 2018.Google ScholarGoogle Scholar
  3. 3 Radovanovic A. Our data centers now work harder when the sun shines and wind blows. The Keyword. Google. April 22, 2020. https://blog.google/inside-google/infrastructure/data-centers-work-harder-sun-shines-wind-blows.Google ScholarGoogle Scholar
  4. 4 Switzer J. and Raghavan B. Information batteries. (Under review).Google ScholarGoogle Scholar
  5. 5 Switzer J., McGuinness R., Pannuto P., Porter G., Schulman A., and Raghavan B. Terrawatt: Sustaining sustainable computing of containers in containers. 2021.Google ScholarGoogle Scholar

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        cover image XRDS: Crossroads, The ACM Magazine for Students
        XRDS: Crossroads, The ACM Magazine for Students  Volume 27, Issue 4
        Computing and Sustainability
        Summer 2021
        59 pages
        ISSN:1528-4972
        EISSN:1528-4980
        DOI:10.1145/3472736
        Issue’s Table of Contents

        Copyright © 2021 Owner/Author. 1528-4972/21/06 $15.00

        This work is licensed under a Creative Commons Attribution International 4.0 License.

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        Association for Computing Machinery

        New York, NY, United States

        Publication History

        • Published: 24 June 2021

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