Power Outage Location Data
Buy and sell power outage location data data. Outage boundaries with start/end times and affected customers. Grid resilience AI predicts outage-prone areas from historical failure data.
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Find Me This Data →Overview
What Is Power Outage Location Data?
Power outage location data provides detailed records of electricity disruptions across geographic areas, including outage boundaries, precise start and end times, and counts of affected customers. The most comprehensive U.S. dataset tracks outages from 2014–2022 across all 50 states, Washington D.C., and Puerto Rico at 15-minute intervals, covering up to 92% of customers. This data enables utilities, grid operators, and researchers to assess infrastructure vulnerability, model recovery times, and predict outage-prone areas using historical failure patterns and machine learning techniques.
Market Data
$150 billion
U.S. Annual Outage Cost Impact
Source: U.S. Department of Energy
2014–2022 (8 years)
EAGLE-I Coverage Period
Source: Oak Ridge National Laboratory
Up to 92%
Customer Coverage Rate
Source: Nature Scientific Data
15-minute intervals
EAGLE-I Reporting Frequency
Source: Oak Ridge National Laboratory
Who Uses This Data
What AI models do with it.do with it.
Grid Resilience & Vulnerability Assessment
Utilities and grid operators use outage data to identify vulnerability points in electricity infrastructure, assess consequences of extreme weather on the power system, and develop resilience strategies.
Outage Prediction & Machine Learning
Researchers and AI systems apply advanced machine learning and clustering techniques to historical outage patterns to predict outage-prone areas and improve disaster analytics.
Recovery Time Modeling
Analysts use detailed outage records with duration, impact, and recovery metrics to develop probabilistic models for predicting restoration times and post-event performance.
Business Continuity & Risk Planning
Retailers, data centers, and critical infrastructure operators use location-specific outage data to assess operational risk and plan backup power requirements.
What Can You Earn?
What it's worth.worth.
Academic & Research Access
Varies
EAGLE-I dataset maintained by Oak Ridge National Laboratory for DOE; pricing structure for commercial licensing not specified in available sources.
Commercial Licensing
Varies
Grid operators, utilities, and AI/ML firms license outage location data for prediction models and operational planning; rates depend on geographic scope and update frequency.
Real-Time Data Feeds
Varies
High-frequency 15-minute interval outage updates suitable for utility operations and emergency response; premium pricing typically applies.
What Buyers Expect
What makes it valuable.valuable.
Temporal Precision
Data must include precise start and end times at 15-minute intervals or finer granularity to support accurate recovery time modeling and impact assessment.
Geographic Accuracy & Boundaries
Outage boundaries must be clearly defined at county, utility service area, or more granular levels to enable location-specific risk analysis and vulnerability mapping.
Customer Impact Quantification
Datasets should include affected customer counts and percentages to support business continuity planning and economic impact assessment.
Historical Depth & Coverage
Multi-year datasets (8+ years) with high customer coverage (90%+) are expected for robust machine learning model training and statistical reliability.
External Data Integration
Value increases when outage records are integrated with correlated data sources such as weather records, grid infrastructure maps, or restoration metrics.
Companies Active Here
Who's buying.buying.
Use real-time and historical outage location data to optimize grid operations, identify infrastructure vulnerabilities, and plan emergency response.
Track regional power outage risk and grid stability to inform data center placement decisions and backup power planning as AI demand increases.
Apply outage datasets to train predictive models that forecast grid failures and outage-prone areas for grid optimization and resilience planning.
Use EAGLE-I and similar datasets to assess climate impacts on infrastructure, model grid performance, and support disaster recovery analytics.
Purchase location-specific outage risk data to assess operational continuity threats and justify investment in backup power systems.
FAQ
Common questions.questions.
What is the EAGLE-I dataset?
EAGLE-I (Environment for Analysis of Geo-Located Energy Information) is the most comprehensive U.S. power outage dataset, maintained by Oak Ridge National Laboratory. It covers 2014–2022 across all 50 states, Washington D.C., and Puerto Rico, with 15-minute interval tracking for up to 92% of customers.
How can outage location data be used for grid resilience?
Historical outage patterns and durations support machine learning models that predict outage-prone areas, identify grid vulnerabilities, and inform infrastructure investment priorities. Researchers also use the data to assess extreme weather impacts and model recovery probabilities.
What metrics does power outage location data typically include?
Key metrics include event duration, recovery time, impact duration, number of affected customers, geographic boundaries, and timestamps. Advanced datasets integrate external sources like NOAA weather data and DOE infrastructure records to enhance prediction accuracy.
Who are the primary buyers of power outage location data?
Utilities and RTOs, data center operators, AI/ML research firms, government agencies, and critical infrastructure operators are major buyers. They use the data for grid operations, outage prediction, risk assessment, and business continuity planning.
How is this data priced?
Pricing varies by use case, geographic scope, update frequency, and whether data is provided as historical archives or real-time feeds. Academic and government access to EAGLE-I is typically through institutional licenses, while commercial licensing rates depend on specific operational requirements.
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