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Energy management as a service over fog computing platform

Authors:

Korosh Vatanparvar,

Mohammad Abdullah Al FaruqueAuthors Info & Claims

ICCPS '15: Proceedings of the ACM/IEEE Sixth International Conference on Cyber-Physical Systems

Pages 248 - 249

https://doi.org/10.1145/2735960.2735986

Published: 14 April 2015 Publication History

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Abstract

Cyber-Physical Energy System (CPES) has been seen as the new paradigm of tight integration of power systems, embedded systems, control, and communication. CPES is capable of improving power grid reliability, efficiency, and performance by managing the supply and demand functionalities of the power systems effectively and intelligently. In this demo, we present an energy management system prototype for home and microgrid levels (both from residential domain), implemented over a fog computing platform. The prototype is capable of supporting interoperability, scalability, ease of deployment, cost effectiveness, open architecture, plug-n-play, and local and remote monitoring in a single package to fulfill the mandates by US Department of Energy (DOE) [1].

References

[1]

U.S. Department of Energy Energy Efficiency and Renewable Energy Golden Service Center. Financial Assistant Funding Oppurtunity Announcement. 28 March 2013. "DE-FOA-0000822: "Turn Key" Open Source Software Solutions for Energy Management of Small to Medium Sized Buildings"., 2014.

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[2]

Mohammad Abdullah Al Faruque and Fereidoun Ahourai. A Model-Based Design of Cyber-Physical Energy Systems. 19th Asia and South Pacific Design Automation Conference (ASP-DAC), pages 97--104, 2014.

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[3]

Korosh Vatanparvar, Quan Chau, and Mohammad Abdullah Al Faruque. Home Energy Management as a Service over Networking Platforms. IEEE PES Conference on Innovative Smart Grid Technologies (ISGT), 2015.

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[4]

Korosh Vatanparvar and Mohammad Abdullah Al Faruque. Design Space Exploration for the Profitability of a Rule-Based Aggregator Business Model Within a Residential Microgrid. IEEE Transactions on Smart Grid, 2014.

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[5]

Flavio Bonomi, Rodolfo Milito, Jiang Zhu, and Sateesh Addepalli. Fog Computing and Its Role in the Internet of Things. Proceedings of the 1st Mobile Cloud Computing Workshop, pages 13--16, 2012.

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Matenga AMurena EMpofu K(2020)Application of Artificial Intelligence to an Electrical Rewinding Factory ShopProcedia CIRP10.1016/j.procir.2020.04.13591(735-740)Online publication date: 2020
https://doi.org/10.1016/j.procir.2020.04.135
Jain RGupta MNayyar ASharma N(2020)Adoption of Fog Computing in Healthcare 4.0Fog Computing for Healthcare 4.0 Environments10.1007/978-3-030-46197-3_1(3-36)Online publication date: 3-Aug-2020
https://doi.org/10.1007/978-3-030-46197-3_1
Forcan MMaksimović M(2020)Fog Computing‐Based Communication Systems for Modern Smart GridsFog Computing10.1002/9781119551713.ch13(347-369)Online publication date: 25-Apr-2020
https://doi.org/10.1002/9781119551713.ch13
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Energy management as a service over fog computing platform

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Information

Published In

ICCPS '15: Proceedings of the ACM/IEEE Sixth International Conference on Cyber-Physical Systems

April 2015

269 pages

ISBN:9781450334556

DOI:10.1145/2735960

General Chairs:
Alexandre Bayen
University of California, Berkeley
,
Michael Branicky
University of Kansas

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

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Published: 14 April 2015

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ICCPS '15

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IEEE-CSS
IEEE-CS\TCRT
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ICCPS '15: ACM/IEEE 6th International Conference on Cyber-Physical Systems

April 14 - 16, 2015

Washington, Seattle

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ICCPS '15 Paper Acceptance Rate 25 of 91 submissions, 27%;

Overall Acceptance Rate 25 of 91 submissions, 27%

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Matenga AMurena EMpofu K(2020)Application of Artificial Intelligence to an Electrical Rewinding Factory ShopProcedia CIRP10.1016/j.procir.2020.04.13591(735-740)Online publication date: 2020
https://doi.org/10.1016/j.procir.2020.04.135
Jain RGupta MNayyar ASharma N(2020)Adoption of Fog Computing in Healthcare 4.0Fog Computing for Healthcare 4.0 Environments10.1007/978-3-030-46197-3_1(3-36)Online publication date: 3-Aug-2020
https://doi.org/10.1007/978-3-030-46197-3_1
Forcan MMaksimović M(2020)Fog Computing‐Based Communication Systems for Modern Smart GridsFog Computing10.1002/9781119551713.ch13(347-369)Online publication date: 25-Apr-2020
https://doi.org/10.1002/9781119551713.ch13
Ksentini AJebalia MTabbane S(2019)IoT/cloud‐enabled smart services: A review on QoS requirements in fog environment and a proposed approach based on priority classification techniqueInternational Journal of Communication Systems10.1002/dac.426934:2Online publication date: 21-Nov-2019
https://doi.org/10.1002/dac.4269
Anawar MWang SAzam Zia MJadoon AAkram URaza S(2018)Fog ComputingWireless Communications & Mobile Computing10.1155/2018/71571922018Online publication date: 7-May-2018
https://dl.acm.org/doi/10.1155/2018/7157192
Bi FMiao XChen WFang WZhang WWang D(2018)An Overview on the Applications and Security Issues of Fog Computing2018 IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData)10.1109/Cybermatics_2018.2018.00298(1792-1797)Online publication date: Jul-2018
https://doi.org/10.1109/Cybermatics_2018.2018.00298
Peng LDhaini AHo P(2018)Toward integrated Cloud–Fog networks for efficient IoT provisioning: Key challenges and solutionsFuture Generation Computer Systems10.1016/j.future.2018.05.01588(606-613)Online publication date: Nov-2018
https://doi.org/10.1016/j.future.2018.05.015
Abbasi SJavaid NAshraf MMehmood MNaeem MRehman M(2018)Load Stabilizing in Fog Computing Environment Using Load Balancing AlgorithmAdvances on Broadband and Wireless Computing, Communication and Applications10.1007/978-3-030-02613-4_66(737-750)Online publication date: 19-Oct-2018
https://doi.org/10.1007/978-3-030-02613-4_66
Vatanparvar KFaruque M(2017)Application-Specific Residential Microgrid Design MethodologyACM Transactions on Design Automation of Electronic Systems10.1145/300720622:3(1-21)Online publication date: 5-Apr-2017
https://dl.acm.org/doi/10.1145/3007206
Vatanparvar KAl Faruque M(2017)Control-as-a-Service in Cyber-Physical Energy Systems over Fog ComputingFog Computing in the Internet of Things10.1007/978-3-319-57639-8_7(123-144)Online publication date: 31-May-2017
https://doi.org/10.1007/978-3-319-57639-8_7
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