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Title: VULNERABILITY ANALYSIS OF ELECTRICITY NETWORKS FROM NATURAL HAZARDS USING VIRTUAL REALITY
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VULNERABILITY ANALYSIS OF ELECTRICITY NETWORKS FROM NATURAL HAZARDS USING VIRTUAL REALITY
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1314-2704
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English
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18
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4.3
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The main objective of the paper is to propose an innovative approach to analyzing the vulnerability of electricity networks from natural hazards. The proposed innovative approach is based on the principles (technology) of virtual reality (VR). The main features and advantages of VR are discussed. The possibilities of VR for the study of the negative impact of natural hazards on the infrastructure are analyzed. The importance and timeliness of an in-depth analysis of the vulnerability of electricity networks from the current natural hazards is highlighted. In particular, the situation with the Bulgarian electricity networks has been investigated. It is justified that the use of VR allows for a tangible understanding of the potential negative consequences for electricity networks in the occurrence of different types and severity of natural hazards. The idea is the results of the analysis to help managers take more adequate decisions about effective protecting and risk management of electricity networks from natural hazards. The results obtained can be successfully used in the training of students in energy and energy management since VR makes learning safer and remotely operated.
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conference
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18th International Multidisciplinary Scientific GeoConference SGEM2018
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18th International Multidisciplinary Scientific GeoConference SGEM2018, 3 ? 6 December, 2018
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Proceedings Paper
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STEF92 Technology
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International Multidisciplinary Scientific GeoConference-SGEM
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Bulgarian Acad Sci; Acad Sci Czech Republ; Latvian Acad Sci; Polish Acad Sci; Russian Acad Sci; Serbian Acad Sci & Arts; Slovak Acad Sci; Natl Acad Sci Ukraine; Natl Acad Sci Armenia; Sci Council Japan; World Acad Sci; European Acad Sci, Arts & Letters; Ac
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577-584
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3 ? 6 December, 2018
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website
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cdrom
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2211
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Electricity networks; Natural hazards; Virtual reality; Vulnerability analysis
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