Built a platform to perdict power outages using GIS

For a little over a month or so, I've been working on a new platform that will perdict power outages using data such as weather, vegetation and past outages that had occurred. It uses a scoring system to determine the probability of the outages. At the moment, only the Quebec region of Canada is supported. I am currently working on getting all of the regions of Canada covered, with the expansion to the US in mind.

https://geogridiq.com/

u/Mrsaintj — 27 days ago
▲ 3 r/StartupSoloFounder+1 crossposts

My first SideProject is coming to life

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I've always dreamed of building a side project, and I can finally say I'm making that dream a reality.

It's not perfect, but it's a start.

The idea behind GeoGridIQ is to combine different sources of data—weather, vegetation, and power outage information—to help predict future outages before they happen. The goal is to help utility operations teams react faster and proactively position resources before issues occur. It can also help homeowners better understand when outages may be more likely in their area.

Right now, most of Quebec is supported, but I'm actively expanding coverage across Canada and the United States.

I'd love to hear your thoughts. If you've built a startup or side project before, what advice would you give someone just getting started?

All feedback is greatly appreciated 😊

https://geogridiq.com/

u/Mrsaintj — 28 days ago

I went down a rabbit hole and accidentally built an outage prediction platform

I've spent the last few months building something I wasn't sure was even possible.

The idea started with a simple question:

Could you predict power outages before they happen?

I work around GIS, infrastructure, weather data, and utility systems, and I kept wondering if enough signals existed to identify elevated outage risk before customers actually lost power.

That led me down a rabbit hole.

What started as a few experiments eventually turned into GeoGridIQ, a platform that combines:

- Historical outage data

- Weather conditions

- Vegetation density (NDVI)

- Critical infrastructure

- GIS analysis

- Machine learning

to estimate outage risk and explain what's driving it.

One thing I'm trying hard to avoid is building another dashboard that looks impressive but doesn't prove anything.

So I've recently started running the model against historical events (like the 2022 Quebec Derecho) to see how it would have performed using only the information available before the event occurred.

Some things have worked surprisingly well.

Some things have completely failed and forced me to rethink parts of the prediction engine.

That's honestly been the most interesting part.

The project is still very much a work in progress, but I'd love feedback from anyone working with:

- GIS

- Infrastructure

- Weather data

- Machine learning

- Utility operations

or anyone who just enjoys weird data-heavy side projects.

https://geogridiq.com

Happy to answer questions about the architecture, data sources, mistakes I've made, or where I think the project is headed.

reddit.com
u/Mrsaintj — 1 month ago
▲ 3 r/geospatial+2 crossposts

I built an AI-powered outage prediction platform for electrical utilities (looking for feedback)

What My Project Does

GeoGridIQ is an operational intelligence platform designed to help electrical utilities identify outage risk before outages occur.

The platform combines:

  • Historical outage data
  • Weather conditions
  • Vegetation analysis (NDVI)
  • Critical infrastructure monitoring
  • GIS intelligence
  • Machine learning predictions

to generate actionable insights for utility operators.

Current features include:

  • Real-time outage mapping
  • Weather risk monitoring
  • Vegetation risk analysis
  • Critical infrastructure exposure detection
  • AI-generated operational briefings
  • Outage propagation simulations
  • XGBoost-based outage prediction
  • Prediction validation and accountability tracking

The goal is to help utilities move from outage response to outage prevention.

Live demo:

https://geogridiq.com

Target Audience

GeoGridIQ is intended as a production-grade platform for:

  • Electrical utilities
  • Utility operators
  • Infrastructure planners
  • Emergency management teams
  • GIS professionals
  • Geospatial analysts
  • Researchers working on grid resilience
  • Data scientists interested in infrastructure prediction

While the project is currently self-funded and under active development, the architecture is being designed with real-world utility workflows in mind.

Comparison

Most GIS platforms focus on visualizing infrastructure and data layers.

GeoGridIQ focuses on operational decision support.

Compared to traditional GIS dashboards:

Traditional GIS

  • Displays outages
  • Displays weather
  • Displays infrastructure
  • Provides visualization tools

GeoGridIQ

  • Predicts outage risk
  • Identifies likely outage drivers
  • Monitors critical infrastructure exposure
  • Generates operational briefings
  • Tracks prediction accuracy over time
  • Evaluates false positives and false negatives
  • Supports crew staging and preparedness planning

Rather than acting as another map viewer, the objective is to become an operational intelligence platform for utility resilience and outage forecasting.

I'm actively looking for feedback from people working in utilities, GIS, infrastructure, machine learning, and emergency management.

Questions, criticism, and feature suggestions are welcome.

u/Mrsaintj — 1 month ago