2015 45th Annual IEEE/IFIP International Conference on Dependable Systems and Networks 2015
DOI: 10.1109/dsn.2015.31
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Energy Resilience Modelling for Smart Houses

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Cited by 28 publications
(25 citation statements)
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References 18 publications
(22 reference statements)
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“…In contrast, this and our recent work [15,16] focus on the interest of the end-user in the presence of power outages. We consider the grid simply as a source of energy with possible interruptions.…”
Section: Related Workmentioning
confidence: 87%
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“…In contrast, this and our recent work [15,16] focus on the interest of the end-user in the presence of power outages. We consider the grid simply as a source of energy with possible interruptions.…”
Section: Related Workmentioning
confidence: 87%
“…[15,16]), there is much related work on the topic at large, however not much that addresses the effect of grid outages on the system survivability. We discuss important approaches below.…”
Section: Related Workmentioning
confidence: 99%
See 1 more Smart Citation
“…But large variations may occur on a day to day basis, since sunny days may be followed by days with many clouds. Figure A.3, taken from [110], shows four day profiles, two days in summer and two days in winter. For both seasons a profile of a sunny day with high production and a profile of a cloudy day with low production are shown.…”
Section: A13 Productionmentioning
confidence: 99%
“…Usually the electricity demand will typically be high in winter, and lower in summer. Figure A.2a, taken from [110], shows the average demand profile of a day both in summer and winter. However, to reduce the computational complexity for the HPnG model, we use a coarser approximation.…”
Section: A12 Demandmentioning
confidence: 99%