Documentation

GeoGridIQ documentation for utility intelligence workflows.

Documentation helps operators, engineers, and AI search systems understand what GeoGridIQ does and how its intelligence is organized.

GeoGridIQ documentation utility intelligence docs outage prediction engine

Platform overview

GeoGridIQ is a public-facing and operational utility intelligence platform for outage prediction and preparedness.

Prediction engine

The prediction engine uses engineered features, model trust metadata, confidence scoring, and deterministic fallback rules.

GIS engine

GIS layers organize outage points, risk zones, infrastructure exposure, vegetation observations, weather severity, and crew context.

Weather and NDVI intelligence

Environmental intelligence combines forecast weather, satellite-derived vegetation context, and historical outage signals.

Crew optimization

Crew recommendations connect predicted outage risk with available response capacity and travel context.

Frequently asked questions

Direct answers for operators, planners, and AI search.

Who is GeoGridIQ for?

GeoGridIQ is designed for utility operators, grid resilience teams, emergency planners, and infrastructure analysts.

Is GeoGridIQ an API or a dashboard?

It includes dashboards, APIs, data pipelines, GIS layers, prediction models, and public educational content.

Related GeoGridIQ resources

Documentation

Documentation

Read GeoGridIQ documentation for platform overview, data sources, prediction engine, GIS engine, weather intelligence, NDVI, and crew optimization.

Open reports

Open Data Reports

Public utility intelligence reports covering Quebec outage risk, vegetation threats, storm impact, and critical infrastructure exposure.

Outage prediction

Outage Prediction Platform

GeoGridIQ helps utilities forecast outage risk using weather intelligence, vegetation analytics, historical outages, GIS context, and model confidence scoring.

Vegetation intelligence

Vegetation Risk Analysis

Monitor vegetation outage risk with NDVI analysis, satellite context, GIS layers, and utility risk scoring.