Energy Sector

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Visible to the public  Resilience Week 2017
Sep 18, 2017 7:00 am - Sep 22, 2017 6:00 pm EDT

Submitted by Anonymous on Mon, 02/20/2017 - 3:57pm

Resilience Week 2017

Wilmington, DE | September 18 - 22, 2017 | http://www.resilienceweek.com/

Resilience Week includes IEEE technically co-sponsored symposia dedicated to promising research in resilient systems that will protect cyber-physical infrastructures from unexpected and malicious threats - securing our way of life.

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Visible to the public  E3PE 2017
Apr 26, 2017 7:00 am - Apr 28, 2017 6:00 pm EDT

Submitted by Anonymous on Fri, 01/27/2017 - 3:41pm

First International Conference on Energy, Power, Petroleum and Petrochemical Engineering (E3PE 2017)

You are invited to participate in The First International Conference on Energy, Power, Petroleum and Petrochemical Engineering (E3PE 2017) that will be held in Faculty of Engineering, Lebanese University, Campus of Hadath, Beirut, Lebanon on April 26-28, 2017. The event will be held over three days, with presentations delivered by researchers from the international community, including presentations from keynote speakers and state-of-the-art lectures.

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Visible to the public GCTC SuperClusters and Call for Papers to SCOPE-GCTC

Submitted by Anonymous on Fri, 01/20/2017 - 3:37pm

Dear Global City Teams Challenge (GCTC) community,

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Visible to the public  SCOPE 2017
Apr 21, 2017 7:00 am - 6:00 pm EDT

Submitted by Anonymous on Fri, 01/20/2017 - 1:37pm

Second International Workshop on Science of Smart City Operations and Platforms Engineering (SCOPE)

in partnership with Global City Teams Challenge (GCTC) - SCOPE 2017 with GCTC

April 21, 2017, Pittsburg, PA (Co-located with CPS Week)

Workshop URL: http://cps-vo.org/group/SCOPE-17/

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Visible to the public Optimal Configuration of Intrusion Detection Systems for Cyber-Physical Systems

Submitted by Xenofon Koutsoukos on Mon, 10/31/2016 - 7:08pm. Contributors:

In recent years, we have seen a number of successful cyber-attacks against high-profile targets, which have demonstrated that resourceful and determined attackers can penetrate even highly secure systems. In light of these attacks, it becomes apparent that defenders of cyber-physical systems cannot focus solely on preventing attackers from penetrating their systems. Instead, they must also prepare to promptly detect and mitigate security breaches, thereby limiting the impact of successful attacks.

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

Submitted by Yu Wei on Mon, 10/31/2016 - 7:08pm. Contributor:

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.

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Visible to the public CPS- Synergy- Collaborative Research- Architectural and Algorithmic Solutions for Large Scale PEV Integration into Power Grids

Submitted by Vijay Gupta on Mon, 10/31/2016 - 7:08pm. Contributors:

This project designs algorithms for the integration of plug-in hybrid electric vehicles (PEVs) into the power grid. Specifically, the project will formulate and solve optimization problems critical to various entities in the PEV ecosystem -- PEV owners, commercial charging station owners, aggregators, and distribution companies -- at the distribution / retail level.

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Visible to the public CPS- Synergy- Collaborative Research- A Unified System Theoretic Framework for Cyber Attack-Resilient Power Grid

Submitted by Umesh Vaidya on Mon, 10/31/2016 - 7:08pm. Contributors:

There is an increased research trend towards the application of distributed control algorithms for network power system control. We analyze the vulnerability of these distributed control algorithms to a potential attack on the communication network. We show that that the decentralized load-side control algorithm for frequency regulation in power system is fragile to communication channel uncertainty. We also propose an optimization-based framework for the design of distributed load-side control algorithm robust to communication channel uncertainty.