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Historical case studies

Historical grid events examined without hindsight disguised as prediction.

These case studies explain what happened, identify public information that existed beforehand, separate known outcomes from forecast-time evidence, and describe decisions that evidence could have informed. They do not claim that GeoGridIQ issued a historical forecast unless an auditable run exists.

Quebec outage analysis historical outage simulation 2022 Quebec derecho 2023 Quebec ice storm

What happened

Each simulation begins with a public event summary: storm type, affected regions, outage scale, restoration context, and critical infrastructure considerations.

What data existed beforehand

Simulations separate pre-event weather, vegetation, GIS, and historical outage signals from information that was only known after the event.

How signals are interpreted

The goal is to show how risk corridors, confidence, vegetation exposure, critical assets, and operational priorities could be evaluated before outages peak.

What actions could have been taken

Preparedness actions may include crew staging, critical asset review, vegetation corridor monitoring, public communications, and forecast accountability planning.

Explore related workflows

Frequently asked questions

Frequently asked questions for operators and planners.

What is a historical outage case study?

It separates evidence that was public before an event from outcomes learned afterward, then states clearly whether an auditable model run exists.

Why are historical case studies useful?

They expose hindsight leakage and clarify what preparedness decisions the available evidence could reasonably have informed.

Related GeoGridIQ resources

Documentation

Documentation

Read GeoGridIQ documentation for platform scope, contract-bound data sources, prediction and GIS methods, limitations, and conditional crew-staging support.

Open reports

Open Data Reports

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

Outage prediction

Explainable Outage-Risk Intelligence

See how GeoGridIQ presents time-bound outage-risk outputs with source, model, validity, uncertainty, and explanation context for human review.

Vegetation intelligence

Vegetation Risk Analysis

Learn how permitted satellite vegetation indicators, weather, and generalized infrastructure context may support bounded vegetation-exposure screening for grid reliability.