Explore Pakistan's gridand test what's next
Wattlas puts Pakistan's power grid on one map. Add a plant, push demand up in a province, and watch how the numbers move. It's a planning tool, built to answer real questions about the system.
1,673MWshort at the FY25 evening peak
modelled from measured demand and capacity · 23:00, 20-Jun-2025
Research preview · built from open data plus permissioned NTDC records of Pakistan's plants and power lines
FY25 peak demand at 23:00
measuredGeneration capacity mapped
measuredDemand stations placed
measured + modelledDemand modelled 11 years out
derivedCapabilities
The grid on a map
Every plant, substation and line on one map of Pakistan, coloured by fuel and voltage.
A real network model
The high-voltage network as a graph, from 66 kV up to 500 kV, with the Matiari-to-Lahore HVDC link and the national backbone it connects to.
What-if scenarios
Add a solar farm or a battery, retire a thermal plant, or push demand up, then see what it does to the rest of the system.
Demand forecasting
Quantile forecasts with calibrated uncertainty bands, trained on ten years of measured Pakistani hourly demand and weather.
Capacity planning
See where transmission runs tight and how much storage it takes to firm up renewables against a thinning reserve margin.
Energy transition analysis
Compare renewable build-out strategies and what each one does to reliability, congestion and the emissions curve.
How it works
Map the system
We pull generation assets and the transmission network out of open data and permissioned NTDC records, and knit them into one national model.
Model a scenario
Drop new assets onto the grid or change demand, and the engine recomputes the provincial balances.
Read the impact
Look at the before and after on supply and balance, with every estimate labelled for what it is.
See it in action
Open the map, switch on the layers you care about, and run a scenario to see the effect from provinces down to districts.
Everything here is built from open data, permissioned NTDC records and some modelling assumptions, so read it as planning-grade rather than a live feed. Where a number is estimated or forecast, we say so.