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Data on major power outage events in the continental U.S.

This paper presents the data that is used in the article entitled “A Multi-Hazard Approach to Assess Severe Weather-Induced Major Power Outage Risks in the U.S.” (Mukherjee et al., 2018) [1]. The data described in this article pertains to the major outages witnessed by different states in the contin...

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Detalles Bibliográficos
Autores principales: Mukherjee, Sayanti, Nateghi, Roshanak, Hastak, Makarand
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6141375/
https://www.ncbi.nlm.nih.gov/pubmed/30229084
http://dx.doi.org/10.1016/j.dib.2018.06.067
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author Mukherjee, Sayanti
Nateghi, Roshanak
Hastak, Makarand
author_facet Mukherjee, Sayanti
Nateghi, Roshanak
Hastak, Makarand
author_sort Mukherjee, Sayanti
collection PubMed
description This paper presents the data that is used in the article entitled “A Multi-Hazard Approach to Assess Severe Weather-Induced Major Power Outage Risks in the U.S.” (Mukherjee et al., 2018) [1]. The data described in this article pertains to the major outages witnessed by different states in the continental U.S. during January 2000–July 2016. As defined by the Department of Energy, the major outages refer to those that impacted atleast 50,000 customers or caused an unplanned firm load loss of atleast 300 MW. Besides major outage data, this article also presents data on geographical location of the outages, date and time of the outages, regional climatic information, land-use characteristics, electricity consumption patterns and economic characteristics of the states affected by the outages. This dataset can be used to identify and analyze the historical trends and patterns of the major outages and identify and assess the risk predictors associated with sustained power outages in the continental U.S. as described in Mukherjee et al. [1].
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spelling pubmed-61413752018-09-18 Data on major power outage events in the continental U.S. Mukherjee, Sayanti Nateghi, Roshanak Hastak, Makarand Data Brief Energy This paper presents the data that is used in the article entitled “A Multi-Hazard Approach to Assess Severe Weather-Induced Major Power Outage Risks in the U.S.” (Mukherjee et al., 2018) [1]. The data described in this article pertains to the major outages witnessed by different states in the continental U.S. during January 2000–July 2016. As defined by the Department of Energy, the major outages refer to those that impacted atleast 50,000 customers or caused an unplanned firm load loss of atleast 300 MW. Besides major outage data, this article also presents data on geographical location of the outages, date and time of the outages, regional climatic information, land-use characteristics, electricity consumption patterns and economic characteristics of the states affected by the outages. This dataset can be used to identify and analyze the historical trends and patterns of the major outages and identify and assess the risk predictors associated with sustained power outages in the continental U.S. as described in Mukherjee et al. [1]. Elsevier 2018-06-26 /pmc/articles/PMC6141375/ /pubmed/30229084 http://dx.doi.org/10.1016/j.dib.2018.06.067 Text en © 2018 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Energy
Mukherjee, Sayanti
Nateghi, Roshanak
Hastak, Makarand
Data on major power outage events in the continental U.S.
title Data on major power outage events in the continental U.S.
title_full Data on major power outage events in the continental U.S.
title_fullStr Data on major power outage events in the continental U.S.
title_full_unstemmed Data on major power outage events in the continental U.S.
title_short Data on major power outage events in the continental U.S.
title_sort data on major power outage events in the continental u.s.
topic Energy
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6141375/
https://www.ncbi.nlm.nih.gov/pubmed/30229084
http://dx.doi.org/10.1016/j.dib.2018.06.067
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