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Mathematics / Theoretical computer science / Electric power / Electrical substation / NetworkX / Peer-to-peer / Infrastructure / National Grid / Complex network / Network theory / Electromagnetism / Networks


Spatially modelling dependent infrastructure networks Robson C.1, Barr SL.2, James P.3 and Ford A.4 School of Civil Engineering and Geosciences, Newcastle University November 07, 2014 Summary
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Document Date: 2015-04-19 17:14:47


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City

London / L.A. / Wollongong / /

Company

Networked Systems / National Grid / /

Continent

North America / Europe / /

Country

United States / Canada / Australia / United Kingdom / /

Currency

USD / /

/

Facility

centre of London / Newcastle University / Power System Outage Task Force / /

IndustryTerm

software framework / electricity / electricity blackouts / interdependent failure analysis networks / tube network / tube networks / electricity transmission grid / software tools / dependent systems / electricity grid / electricity transmission systems / spatial networks / interdependent infrastructure systems / dependent infrastructure networks / electricity network / closest electricity substation / spatial infrastructure network / electricity substation failures / power network / electricity substations / interdependent spatial networks / transport systems / /

Organization

P.3 and Ford A.4 School of Civil Engineering and Geosciences / Newcastle University / U.S.-Canada Power System Outage Task Force / /

Person

Philip James / Craig Robson / Alistair Ford / Vittal / V / Stuart Barr / /

Position

interdependent network database schema model / Governor / Farmer / Researcher / Lecturer / /

ProvinceOrState

New South Wales / /

Region

South East England / South Wales / /

Technology

database management system / /

URL

www.tfl.gov.uk / http /

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