Outage and reliability context
Outage records, affected-customer counts, location context, historical patterns, and event reporting help describe where disruption risk has appeared before.
Documentation
Data sources for utility operational intelligence.
GeoGridIQ uses public and operational data categories to explain outage risk without exposing secrets, private user data, or sensitive infrastructure details.
GeoGridIQ data sources
outage prediction data
utility intelligence sources
Weather and climate signals
Wind, gusts, precipitation, snow, temperature, lightning, soil saturation, weather severity, and storm timing help explain grid stress.
Vegetation and GIS layers
NDVI, vegetation density, geography, regional boundaries, and spatial relationships help identify where environmental pressure overlaps with infrastructure exposure.
Critical infrastructure context
Hospitals, water systems, telecom, substations, transportation, emergency services, and other essential-service categories are treated as consequence context.
Explore related workflows
Connect this topic to the GeoGridIQ platform.
Hydro-Quebec Data Sources
Public Quebec outage and reliability source context.
Environment Canada Data Sources
Weather and climate source context.
NDVI Data Sources
Vegetation intelligence source context.
Frequently asked questions
Direct answers for operators, planners, and AI search.
Does GeoGridIQ publish private user data?
No. Public documentation describes source categories and methods, not private account data, saved locations, secrets, or worker credentials.
Related GeoGridIQ resources
Continue exploring utility intelligence.
Documentation
Read GeoGridIQ documentation for platform overview, data sources, prediction engine, GIS engine, weather intelligence, NDVI, and crew optimization.
Open Data Reports
Public utility intelligence reports covering Quebec outage risk, vegetation threats, storm impact, and critical infrastructure exposure.
Outage Prediction Platform
Explore how GeoGridIQ combines weather signals, vegetation risk, historical outages, and explainable prediction models to identify areas at higher outage risk.
Vegetation Risk Analysis
GeoGridIQ uses NDVI, satellite imagery, vegetation density, and infrastructure context to help identify vegetation pressure near electrical assets.