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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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research-article

Flexible Computing for Intermittent Energy

Published: 24 June 2021 Publication History

Abstract

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

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References

[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.
[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.
[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.
[4]
Switzer, J. and Raghavan, B. Information batteries. (Under review).
[5]
Switzer, J., McGuinness, R., Pannuto, P., Porter, G., Schulman, A., and Raghavan, B. Terrawatt: Sustaining sustainable computing of containers in containers. 2021.

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Published In

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
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
Published in XRDS Volume 27, Issue 4

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