Energy

Applications of CPS technologies involving the power generation and/or energy conservation.
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Visible to the public SIES 2017 - Call for papers

CALL FOR REGULAR, SPECIAL SESSIONS, & WORK IN PROGRESS PAPERS
CALL FOR TUTORIALS & WORKSHOPS

12th IEEE International Symposium on Industrial Embedded Systems (SIES 2017)

June 7-9, 2017 | Toulouse, France | Web site: http://sies2017.org

Sponsors:
IEEE Council on Electronic Design Automation (requested) and ONERA, Toulouse Center

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Visible to the public Optimal Energy Procurement for Geo-distributed Data Centers in Multi-timescale Markets

Multi-timescale electricity markets augment the traditional electricity market by enabling consumers to procure electricity in a futures market. Heavy power consumers, such as cloud providers and data center operators, can significantly benefit from multi-timescale electricity markets by purchasing some of the needed electricity ahead of time at cheaper rates.

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Visible to the public CPS- Synergy- Self-Sustainable Date-Driven Systems In the Field poster.pdf

Data-driven intelligence is an essential foundation for physical systems in transportation safety and efficiency, area surveillance and security, as well as environmental sustainability. This project develops new computer system infrastructure and algorithms for self-sustainable data-driven systems in the field.

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Visible to the public A Gaussian-Mixture Model Based Detection against Data Integrity Attacks in Smart Grid Poster.pdf

The goal of this project is to establish a theoretical and empirical foundation for secured and efficient energy resource management in the smart grid - a typical energy-based cyber-physical system and the future critical energy infrastructure for the nation. In this study, we focus on the detection threats and propose a Gaussian-Mixture Model-based Detection (GMMD) scheme to mitigate data integrity attacks.