Event-correlated Outage Dataset in America
This dataset includes an aggregated and event-correlated analysis of power outages in the United States, synthesized by integrating three data sources: the Environment for the Analysis of Geo-Located Energy Information (EAGLE-I), the Electric Emergency Incident Disturbance Report (DOE-417), and Annual Estimates of the Resident Population for Counties 2024 (CO-EST2024-POP). The EAGLE-I dataset, spanning from 2014 to 2023, encompasses over 146 million customers and offers county-level outage information at 15-minute intervals. The data has been processed, filtered, and aggregated to deliver an enhanced perspective on power outages, which are then correlated with DOE-417 data based on geographic location as well as the start and end times of events. For each major disturbance documented in DOE-417, essential metrics are defined to quantify the outages associated with the event. This dataset supports researchers in examining outages triggered by major disturbances like extreme weather and physical disruptions, thereby aiding studies on power system resilience.
Links to the raw data for generating the correlated dataset are included below as "DOE-417", "EAGLE-I", and "CO-EST2024-POP" resources.
Acknowledgement: This work is funded by the Laboratory Directed Research and Development (LDRD) at the Pacific Northwest National Laboratory (PNNL) as part of the Resilience Through Data-Driven, Intelligently Designed Control (RD2C) Initiative.
Citation Formats
TY - DATA
AB - This dataset includes an aggregated and event-correlated analysis of power outages in the United States, synthesized by integrating three data sources: the Environment for the Analysis of Geo-Located Energy Information (EAGLE-I), the Electric Emergency Incident Disturbance Report (DOE-417), and Annual Estimates of the Resident Population for Counties 2024 (CO-EST2024-POP). The EAGLE-I dataset, spanning from 2014 to 2023, encompasses over 146 million customers and offers county-level outage information at 15-minute intervals. The data has been processed, filtered, and aggregated to deliver an enhanced perspective on power outages, which are then correlated with DOE-417 data based on geographic location as well as the start and end times of events. For each major disturbance documented in DOE-417, essential metrics are defined to quantify the outages associated with the event. This dataset supports researchers in examining outages triggered by major disturbances like extreme weather and physical disruptions, thereby aiding studies on power system resilience.
Links to the raw data for generating the correlated dataset are included below as "DOE-417", "EAGLE-I", and "CO-EST2024-POP" resources.
Acknowledgement: This work is funded by the Laboratory Directed Research and Development (LDRD) at the Pacific Northwest National Laboratory (PNNL) as part of the Resilience Through Data-Driven, Intelligently Designed Control (RD2C) Initiative.
AU - She, Buxin
A2 - Adetola, Veronica
A3 - Yun, Ji Young
DB - Open Energy Data Initiative (OEDI)
DP - Open EI | National Renewable Energy Laboratory
DO -
KW - Power outage
KW - Resilience
KW - Events
KW - Black out
KW - Severe weather
KW - DOE-147
KW - EAGLE-I
KW - Renewables
KW - Power system
KW - Reliability
KW - outage
KW - aggregated
KW - event-correlated
KW - United States
KW - processed data
KW - data
KW - disturbance
LA - English
DA - 2024/10/01
PY - 2024
PB - Pacific Northwest National Laboratory
T1 - Event-correlated Outage Dataset in America
UR - https://data.openei.org/submissions/6458
ER -
She, Buxin, et al. Event-correlated Outage Dataset in America. Pacific Northwest National Laboratory, 1 October, 2024, Open Energy Data Initiative (OEDI). https://data.openei.org/submissions/6458.
She, B., Adetola, V., & Yun, J. (2024). Event-correlated Outage Dataset in America. [Data set]. Open Energy Data Initiative (OEDI). Pacific Northwest National Laboratory. https://data.openei.org/submissions/6458
She, Buxin, Veronica Adetola, and Ji Young Yun. Event-correlated Outage Dataset in America. Pacific Northwest National Laboratory, October, 1, 2024. Distributed by Open Energy Data Initiative (OEDI). https://data.openei.org/submissions/6458
@misc{OEDI_Dataset_6458,
title = {Event-correlated Outage Dataset in America},
author = {She, Buxin and Adetola, Veronica and Yun, Ji Young},
abstractNote = {This dataset includes an aggregated and event-correlated analysis of power outages in the United States, synthesized by integrating three data sources: the Environment for the Analysis of Geo-Located Energy Information (EAGLE-I), the Electric Emergency Incident Disturbance Report (DOE-417), and Annual Estimates of the Resident Population for Counties 2024 (CO-EST2024-POP). The EAGLE-I dataset, spanning from 2014 to 2023, encompasses over 146 million customers and offers county-level outage information at 15-minute intervals. The data has been processed, filtered, and aggregated to deliver an enhanced perspective on power outages, which are then correlated with DOE-417 data based on geographic location as well as the start and end times of events. For each major disturbance documented in DOE-417, essential metrics are defined to quantify the outages associated with the event. This dataset supports researchers in examining outages triggered by major disturbances like extreme weather and physical disruptions, thereby aiding studies on power system resilience.
Links to the raw data for generating the correlated dataset are included below as "DOE-417", "EAGLE-I", and "CO-EST2024-POP" resources.
Acknowledgement: This work is funded by the Laboratory Directed Research and Development (LDRD) at the Pacific Northwest National Laboratory (PNNL) as part of the Resilience Through Data-Driven, Intelligently Designed Control (RD2C) Initiative.},
url = {https://data.openei.org/submissions/6458},
year = {2024},
howpublished = {Open Energy Data Initiative (OEDI), Pacific Northwest National Laboratory, https://data.openei.org/submissions/6458},
note = {Accessed: 2025-04-25}
}
Details
Data from Oct 1, 2024
Last updated Apr 24, 2025
Submitted Jan 10, 2025
Organization
Pacific Northwest National Laboratory
Contact
Buxin She
571.353.5791
