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A quantitative approach to physical security assessments for power & energy infrastructure
2015 Edition, October 1, 2015 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

This paper presents a methodology for assessing the vulnerability of power and energy systems and components to weapons effects, accidental explosions, and attacks by terrorists, saboteurs, and vandals. The functioning of these systems depends on such devices and...

Energy Infrastructure Defense Systems
2005 Edition, Volume 93, May 1, 2005 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

Energy infrastructure faced with deregulation and coupled with interdependencies with other critical infrastructures and increased demand for high-quality and reliable electricity for our digital economy is becoming more and more stressed. The occurrence of...

Agent-based modeling of energy infrastructure transitions
2008 Edition, November 1, 2008 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

Transitions emerge over time as fundamental change of large-scale socio-technical systems such as energy infrastructures that are the backbone of society. To date, however, the body-of-knowledge on energy infrastructure transitions is largely descriptive....

Development of secured energy infrastructure in Japan
2013 Edition, May 1, 2013 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

This paper discusses the priority issues on the energy infrastructure before and after the Great East Japan Earthquake in Japan. For the issue before the earthquake "Development and implementation of technologies that realizes a co-existence between sustainability and...

Real-time monitoring of energy infrastructure
2011 Edition, May 1, 2011 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

Many legacy infrastructures are reaching the end of their service life. The necessary replacement of this infrastructure creates an opportunity to replace them with environmental and innovative systems. In this paper, a Smart Energy Micro Grid (SEMG) simulator is...

Toward a self-healing energy infrastructure
2006 Edition, January 1, 2006 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

Virtually every crucial economic and social function depends on the secure, reliable operation of energy, telecommunications, transportation, financial, and other infrastructures. The nature of electricity demand is undergoing a profound shift in industrialized nations across...

A Quantitative Approach to eMM
2008 Edition, August 1, 2008 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

eMM (e-learning maturity model) is used for evaluating the capability and maturity of an institution engaged in e-learning. Based on the original eMM, we suggest a quantitative approach , which can set up an eMM process meta-model as a frame of reference to...

Toward self-healing energy infrastructure systems
2001 Edition, Volume 14, January 1, 2001 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

Virtually every crucial economic and social function depends on the secure, reliable operation of energy, telecommunications, transportation, financial, and other infrastructures. However, with increased benefit has come increased risk. As they have grown more complex to handle...

Optimal Coupling of Energy Infrastructures
2007 Edition, July 1, 2007 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

This paper presents a framework for integrated modeling and optimization of energy systems with multiple energy carriers. Based on the concept of energy hubs, a generic steady- state model for describing conversion and storage of multiple...

Vulnerability analysis of the integrated energy infrastructure
2009 Edition, September 1, 2009 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

A multi-time period combined network optimisation model is used to investigate the interdependencies and interactions between the GB gas and electricity network. A scenario which represents a critical condition that the system may face is defined. The analysis highlights...

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