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

Sayanti Mukherjee,Roshanak Nateghi,Makarand Hastak

doi:10.1016/j.dib.2018.06.067

Abstract

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].

Highlights

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]
Risk and reliability Major power outages, Severe weather-induced outages, Natural hazards, Electricity service reliability Table, Excel file Using different publicly available datasets such as: (i) OE-417 form Schedule 1 published by DOE's Office of Electricity Delivery and Energy Reliability [2] (ii) U.S Energy Information Administration (EIA) [form EIA-826 and EIA-861] [3]; (iii) National Oceanic and Atmospheric Administration (NOAA) and National Climatic Data Center (NCDC) [4]; (iv) U.S Department of Labor; Bureau of Labor Statistics [5]; (v) U.S Census Bureau
Raw; Aggregated, Filtered Not applicable Statistical analysis of the data leveraging a hybrid classificationregression model to identify and estimate the influence of various predictors attributing to increased risk of sustained power outages All the states in the continental U.S Data is available within this article in the link provided

Summary

Data Article

Data on major power outage events in the continental U.S. Sayanti Mukherjee a,n, Roshanak Nateghi b, Makarand Hastak c a Lyles School of Civil Engineering, Division of Construction Engineering and Management, and School of Industrial Engineering, Purdue University, West Lafayette, IN 47907, USA b School of Industrial Engineering and Division of Environmental and Ecological Engineering, Purdue University, West Lafayette, IN 47907, USA c Lyles School of Civil Engineering and Division of Construction Engineering and Management, Purdue University, West Lafayette, IN 47907, USA article info. This article 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].

Data source location Data accessibility

Value of the data

Time of the outage YEAR event

Extent of outages

Electricity price

Land area