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Event-correlated outage dataset in America

Awaiting curation License 

This dataset includes aggregated and event-correlated power outages in the United States, synthesized by integrating two data sources: the Environment for the Analysis of Geo-Located Energy Information (EAGLE-I) and the Electric Emergency Incident Disturbance Report (DOE-417). 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.

Link to the raw data for generating the correlated dataset:
1) EAGLE-I: https://figshare.com/articles/dataset/The_Environment_for_Analysis_of_Geoocated_Energy_Information_s_Recorded_Electricity_Outages_2014-2022/24237376
2) DOE-147: Electricity - Annual Disturbance Events Archive

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

Pacific Northwest National Laboratory. (2024). Event-correlated outage dataset in America [data set]. Retrieved from https://data.openei.org/submissions/6458.
Export Citation to RIS
She, Buxin, Adetola, Veronica, and Yun, Ji Young. Event-correlated outage dataset in America. United States: N.p., 01 Oct, 2024. Web. https://data.openei.org/submissions/6458.
She, Buxin, Adetola, Veronica, & Yun, Ji Young. Event-correlated outage dataset in America. United States. https://data.openei.org/submissions/6458
She, Buxin, Adetola, Veronica, and Yun, Ji Young. 2024. "Event-correlated outage dataset in America". United States. https://data.openei.org/submissions/6458.
@div{oedi_6458, title = {Event-correlated outage dataset in America}, author = {She, Buxin, Adetola, Veronica, and Yun, Ji Young.}, abstractNote = {This dataset includes aggregated and event-correlated power outages in the United States, synthesized by integrating two data sources: the Environment for the Analysis of Geo-Located Energy Information (EAGLE-I) and the Electric Emergency Incident Disturbance Report (DOE-417). 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.

Link to the raw data for generating the correlated dataset:
1) EAGLE-I: https://figshare.com/articles/dataset/The_Environment_for_Analysis_of_Geoocated_Energy_Information_s_Recorded_Electricity_Outages_2014-2022/24237376
2) DOE-147: Electricity - Annual Disturbance Events Archive

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.}, doi = {}, url = {https://data.openei.org/submissions/6458}, journal = {}, number = , volume = , place = {United States}, year = {2024}, month = {10}}

Details

Data from Oct 1, 2024

Last updated Jan 10, 2025

Submitted Jan 10, 2025

Organization

Pacific Northwest National Laboratory

Contact

Buxin She

571.353.5791

Authors

Buxin She

Pacific Northwest National Laboratory

Veronica Adetola

Pacific Northwest National Laboratory

Ji Young Yun

Pacific Northwest National Laboratory

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